Apple Inc. MacPro6,1
Geekbench AI Score
864
Single Precision Score
866
Half Precision Score
2312
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | BulbousSum |
| Upload Date | February 18 2026 02:48 AM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (HP)
|
100% |
908
168.8 IPS |
|
|
Image Classification (Q)
|
100% |
1583
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1624
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1627
1.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
3956
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
882
70.0 IPS |
|
|
Object Detection (Q)
|
87% |
1676
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
97% |
5234
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3020
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4327
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28
0.04 IPS |
|
|
Style Transfer (HP)
|
100% |
28
0.04 IPS |
|
|
Style Transfer (Q)
|
98% |
11842
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2347
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.0 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.5 IPS |
|
|
Text Classification (Q)
|
91% |
267
358.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1098
18.9 IPS |
