Apple Inc. MacPro6,1
Geekbench AI Score
1662
Single Precision Score
1664
Half Precision Score
2362
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Devon25836 |
| Upload Date | May 04 2025 10:59 AM |
| Views | 3 |
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 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% |
905
168.3 IPS |
|
|
Image Classification (HP)
|
100% |
903
168.0 IPS |
|
|
Image Classification (Q)
|
100% |
1589
295.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2317
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1617
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1616
1.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
3950
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
87% |
1695
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
5236
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2984
23.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4489
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5099
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
11933
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2353
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
91% |
269
360.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1237
21.3 IPS |
