MacPro7,1
Geekbench AI Score
1055
Single Precision Score
125
Half Precision Score
103
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 29 2025 03:31 PM |
| Views | 6 |
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% |
515
95.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1019
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
915
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
100% |
408
4.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
850
6.65 IPS |
|
|
Style Transfer (SP)
|
100% |
4278
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
3170
4.07 IPS |
|
|
Style Transfer (Q)
|
96% |
2558
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
432
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
532
709.6 IPS |
|
|
Text Classification (HP)
|
100% |
516
689.1 IPS |
|
|
Text Classification (Q)
|
93% |
513
688.6 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
