Apple Inc. MacPro6,1
Geekbench AI Score
1396
Single Precision Score
686
Half Precision Score
1243
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 09 2025 01:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 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 E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
1091
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1539
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
1984
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
58% |
678
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
798
9.48 IPS |
|
|
Face Detection (Q)
|
96% |
2151
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2639
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
997
7.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2163
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4927
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3963
5.09 IPS |
|
|
Style Transfer (Q)
|
87% |
4287
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
822
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1042
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.8 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (Q)
|
97% |
295
395.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
68% |
999
19.3 IPS |
