Apple Inc. MacPro6,1
Geekbench AI Score
1816
Single Precision Score
686
Half Precision Score
1681
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Devon25836 |
| Upload Date | May 04 2025 10:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
944
175.5 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.2 IPS |
|
|
Image Classification (Q)
|
96% |
1384
258.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
901
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
3112
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
58% |
1061
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (Q)
|
96% |
2987
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3955
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
2968
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7531
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5776
7.43 IPS |
|
|
Style Transfer (Q)
|
87% |
5879
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.9 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (Q)
|
97% |
595
797.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1268
24.5 IPS |
