MacPro7,1
Geekbench AI Score
1035
Single Precision Score
123
Half Precision Score
101
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | rothomp3 |
| Upload Date | September 01 2025 02:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i3-12100F |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
536
8.70 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
887
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (Q)
|
100% |
402
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
1549
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1270
9.78 IPS |
|
|
Depth Estimation (Q)
|
85% |
830
6.49 IPS |
|
|
Style Transfer (SP)
|
100% |
4182
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3122
4.01 IPS |
|
|
Style Transfer (Q)
|
96% |
2507
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
512
682.7 IPS |
|
|
Text Classification (HP)
|
100% |
504
673.3 IPS |
|
|
Text Classification (Q)
|
93% |
506
679.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
744
12.9 IPS |
