MacPro7,1
Geekbench AI Score
1737
Single Precision Score
1360
Half Precision Score
874
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | universo-hackintosh |
| Upload Date | January 12 2026 11:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 8 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
96% |
298
55.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
496
8.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
4637
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2644
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
2182
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (Q)
|
92% |
370
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
100% |
576
6.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
2671
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2597
20.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1462
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6284
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
8197
10.5 IPS |
|
|
Style Transfer (Q)
|
96% |
5664
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
732
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
733
978.7 IPS |
|
|
Text Classification (Q)
|
93% |
728
977.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
860
14.9 IPS |
