MacPro7,1
Geekbench AI Score
787
Single Precision Score
105
Half Precision Score
79
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | universo-hackintosh |
| Upload Date | December 01 2025 09:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2318
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
892
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
641
7.61 IPS |
|
|
Face Detection (Q)
|
100% |
243
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1258
9.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1016
7.83 IPS |
|
|
Depth Estimation (Q)
|
85% |
560
4.38 IPS |
|
|
Style Transfer (SP)
|
100% |
4409
5.67 IPS |
|
|
Style Transfer (HP)
|
100% |
3298
4.24 IPS |
|
|
Style Transfer (Q)
|
96% |
2226
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
313
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
306
407.8 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.3 IPS |
|
|
Text Classification (Q)
|
93% |
307
412.1 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (Q)
|
98% |
441
7.63 IPS |
