MacPro7,1
Geekbench AI Score
6091
Single Precision Score
6404
Half Precision Score
1595
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 29 2025 05:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD GFX10 Family Unknown Prototype |
| 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% |
5058
940.6 IPS |
|
|
Image Classification (HP)
|
100% |
4895
910.3 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
237
3.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
43057
50.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
38282
44.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2454
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
4733
375.4 IPS |
|
|
Object Detection (HP)
|
100% |
4964
393.7 IPS |
|
|
Object Detection (Q)
|
92% |
182
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
10267
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
13129
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
281
3.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
22652
174.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24787
191.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
25021
195.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58006
74.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64580
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
78374
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11608
428.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14093
520.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13390
494.4 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.4 IPS |
|
|
Text Classification (HP)
|
100% |
742
991.0 IPS |
|
|
Text Classification (Q)
|
93% |
674
905.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1181
20.4 IPS |
