MacPro7,1
Geekbench ML Score
6918
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | February 22 2025 04:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 22.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 3600 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4838
905.3 IPS |
|
|
Image Classification (F16)
|
100% |
4770
892.5 IPS |
|
|
Image Classification (I8)
|
99% |
4750
888.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
512
8.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
497
8.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
495
8.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
88129
106.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
78652
95.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
77348
93.7 IPS |
|
|
Object Detection (F32)
|
100% |
3503
261.5 IPS |
|
|
Object Detection (F16)
|
100% |
3414
254.9 IPS |
|
|
Object Detection (I8)
|
97% |
3489
260.5 IPS |
|
|
Face Detection (F32)
|
100% |
15220
181.0 IPS |
|
|
Face Detection (F16)
|
98% |
21202
252.1 IPS |
|
|
Face Detection (I8)
|
97% |
21312
253.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
27904
216.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
29697
230.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
30054
233.1 IPS |
|
|
Style Transfer (F32)
|
100% |
134196
176.5 IPS |
|
|
Style Transfer (F16)
|
100% |
131304
172.7 IPS |
|
|
Style Transfer (I8)
|
100% |
131499
173.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8741
312.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14141
505.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14724
525.8 IPS |
|
|
Text Classification (F32)
|
100% |
438
629.2 IPS |
|
|
Text Classification (F16)
|
100% |
431
619.1 IPS |
|
|
Text Classification (I8)
|
96% |
392
563.1 IPS |
|
|
Machine Translation (F32)
|
100% |
979
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
994
18.3 IPS |
|
|
Machine Translation (I8)
|
99% |
988
18.2 IPS |
