Apple Inc. MacPro6,1
Geekbench AI Score
849
Single Precision Score
848
Half Precision Score
2313
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | wfwrigh |
| Upload Date | October 22 2025 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz |
| 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% |
895
166.5 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (Q)
|
100% |
1585
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2270
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1632
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1638
1.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
3922
4.60 IPS |
|
|
Object Detection (SP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (HP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (Q)
|
87% |
1685
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
5182
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2913
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2941
22.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
4341
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27
0.03 IPS |
|
|
Style Transfer (HP)
|
100% |
26
0.03 IPS |
|
|
Style Transfer (Q)
|
98% |
11833
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2323
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.9 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.2 IPS |
|
|
Text Classification (Q)
|
91% |
275
370.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1085
18.7 IPS |
