Apple Inc. MacPro6,1
Geekbench AI Score
1787
Single Precision Score
712
Half Precision Score
1589
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | wfwrigh |
| Upload Date | October 22 2025 04:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.8 IPS |
|
|
Image Classification (HP)
|
100% |
258
47.9 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
1528
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1755
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
3041
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
983
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
96% |
2707
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3995
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1000
7.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
2909
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7331
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
5853
7.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5601
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1325
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
690
921.2 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.2 IPS |
|
|
Text Classification (Q)
|
97% |
255
341.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1111
21.5 IPS |
