| Qualcomm Snapdragon 8cx Gen 3 | Apple M1 Ultra (64-GPU) | |
| 7 W | Max TDP | 60 W |
| NA | Power consumption per day (kWh) | NA |
| NA | Running cost per day | NA |
| NA | Power consumption per year (kWh) | NA |
| NA | Running cost per year | NA |
Qualcomm Snapdragon 8cx Gen 3 vs Apple M1 Ultra (64-GPU)
The Qualcomm Snapdragon 8cx Gen 3 operates with 8 cores and 8 CPU threads. It run at 3.00 GHz base 2.42 GHz all cores while the TDP is set at 7 W.The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 8 memory channels to support LPDDR4X-4266 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-X1 / Cortex-A78 Architecture is enhanced with 5 nm technology and supports None. The product was launched on Q1/2022
The Apple M1 Ultra (64-GPU) operates with 20 cores and 8 CPU threads. It run at 3.20 GHz base 2.06 GHz all cores while the TDP is set at 60 W.The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 8 memory channels to support LPDDR5-6400 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, M1 Architecture is enhanced with 5 nm technology and supports Apple Virtualization Framework. The product was launched on Q1/2022
Qualcomm Snapdragon 8cx Gen 3
Apple M1 Ultra (64-GPU)
Compare Detail
| 3.00 GHz | Frequency | 3.20 GHz |
| 8 | Cores | 20 |
| 3.00 GHz | Turbo (1 Core) | 3.20 GHz |
| 2.42 GHz | Turbo (All Cores) | 2.06 GHz |
 No |
Hyperthreading | No |
| No |
Overclocking | No |
| hybrid (big.LITTLE) | Core Architecture | hybrid (big.LITTLE) |
| Unknown | GPU | Apple M1 Ultra (64 Core) |
| No turbo | GPU (Turbo) | No turbo |
| 5 nm | Technology | 5 nm |
| No turbo | GPU (Turbo) | No turbo |
| DirectX Version | ||
| 0 | Max. displays | 3 |
| LPDDR4X-4266 | Memory | LPDDR5-6400 |
| 8 | Memory channels | 8 |
| Max memory | ||
| No |
ECC | No |
| -- | L2 Cache | 52.00 MB |
| -- | L3 Cache | -- |
| PCIe version | ||
| PCIe lanes | ||
| 5 nm | Technology | 5 nm |
| N/A | Socket | N/A |
| 7 W | TDP | 60 W |
| None | Virtualization | Apple Virtualization Framework |
| Q1/2022 | Release date | Q1/2022 |
Cinebench R23 (Single-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Apple M1 Ultra (64-GPU)
1,543 (70%)
Cinebench R23 (Multi-Core)
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
Apple M1 Ultra (64-GPU)
24,194 (37%)
Geekbench 5, 64bit (Single-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Apple M1 Ultra (64-GPU)
1,803 (80%)
Geekbench 5, 64bit (Multi-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
Apple M1 Ultra (64-GPU)
24,061 (48%)
iGPU - FP32 Performance (Single-precision GFLOPS)
The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.
Apple M1 Ultra (64-GPU)
21,213 (100%)
Estimated results for PassMark CPU Mark
Some of the CPUs listed below have been benchmarked by CPU-Comparison. However the majority of CPUs have not been tested and the results have been estimated by a CPU-Comparison’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
Apple M1 Ultra (64-GPU)
41,064 (38%)
Electric Usage Estimate
Electric Usage Estimate
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