Apple Inc. MacPro5,1
Geekbench ML Score
565
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 16 2024 02:06 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5650 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
338
63.2 IPS |
|
|
Image Classification (F16)
|
100% |
334
62.4 IPS |
|
|
Image Classification (I8)
|
96% |
480
89.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
314
5.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
314
5.25 IPS |
|
|
Image Segmentation (I8)
|
97% |
462
7.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
714
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
713
0.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
1215
1.47 IPS |
|
|
Object Detection (F32)
|
100% |
326
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
325
24.3 IPS |
|
|
Object Detection (I8)
|
62% |
358
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
634
7.54 IPS |
|
|
Face Detection (F16)
|
100% |
631
7.50 IPS |
|
|
Face Detection (I8)
|
87% |
844
10.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
938
7.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
940
7.29 IPS |
|
|
Depth Estimation (I8)
|
74% |
1310
10.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1854
2.44 IPS |
|
|
Style Transfer (F16)
|
100% |
1859
2.45 IPS |
|
|
Style Transfer (I8)
|
85% |
2374
3.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
419
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
589
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
342
491.1 IPS |
|
|
Text Classification (F16)
|
100% |
346
496.9 IPS |
|
|
Text Classification (I8)
|
94% |
189
271.3 IPS |
|
|
Machine Translation (F32)
|
100% |
481
8.85 IPS |
|
|
Machine Translation (F16)
|
100% |
477
8.78 IPS |
|
|
Machine Translation (I8)
|
67% |
382
7.04 IPS |
