MacPro7,1
Geekbench AI Score
1414
Single Precision Score
1518
Half Precision Score
314
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | universo-hackintosh |
| Upload Date | October 22 2025 09:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Polaris |
| System Information | |
|---|---|
| Operating System | macOS 14.8.1 (Build 23J30) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 8 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
962
178.9 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
96% |
163
30.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
238
3.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
4024
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4346
5.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
1848
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
92% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
3806
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4042
31.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8223
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8580
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10151
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1974
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.3 IPS |
|
|
Text Classification (HP)
|
100% |
450
600.5 IPS |
|
|
Text Classification (Q)
|
93% |
327
438.8 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
98% |
331
5.73 IPS |
