MacPro7,1
Geekbench ML Score
810
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | February 22 2025 04:53 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
488
91.3 IPS |
|
|
Image Classification (F16)
|
100% |
323
60.4 IPS |
|
|
Image Classification (I8)
|
99% |
322
60.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
423
7.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
5.40 IPS |
|
|
Image Segmentation (I8)
|
100% |
324
5.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
3074
3.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
1383
1.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
1399
1.69 IPS |
|
|
Object Detection (F32)
|
100% |
533
39.8 IPS |
|
|
Object Detection (F16)
|
100% |
391
29.2 IPS |
|
|
Object Detection (I8)
|
97% |
535
39.9 IPS |
|
|
Face Detection (F32)
|
100% |
1182
14.1 IPS |
|
|
Face Detection (F16)
|
98% |
830
9.87 IPS |
|
|
Face Detection (I8)
|
97% |
819
9.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
1829
14.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1523
11.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
1521
11.8 IPS |
|
|
Style Transfer (F32)
|
100% |
5684
7.48 IPS |
|
|
Style Transfer (F16)
|
100% |
5046
6.64 IPS |
|
|
Style Transfer (I8)
|
100% |
5063
6.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1434
51.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
915
32.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
919
32.8 IPS |
|
|
Text Classification (F32)
|
100% |
603
866.0 IPS |
|
|
Text Classification (F16)
|
100% |
344
494.5 IPS |
|
|
Text Classification (I8)
|
96% |
343
493.1 IPS |
|
|
Machine Translation (F32)
|
100% |
299
5.51 IPS |
|
|
Machine Translation (F16)
|
100% |
323
5.94 IPS |
|
|
Machine Translation (I8)
|
99% |
298
5.48 IPS |
