MacPro7,1
Geekbench AI Score
1515
Single Precision Score
173
Half Precision Score
146
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Tom01 |
| Upload Date | August 28 2025 10:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 8 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.87 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
4430
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2027
2.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1687
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
100% |
539
6.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2384
18.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
2372
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5576
7.17 IPS |
|
|
Style Transfer (HP)
|
100% |
6476
8.32 IPS |
|
|
Style Transfer (Q)
|
100% |
6480
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
642
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.7 IPS |
|
|
Text Classification (HP)
|
100% |
653
871.8 IPS |
|
|
Text Classification (Q)
|
93% |
649
871.5 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
778
13.4 IPS |
