MacPro7,1
Geekbench AI Score
6368
Single Precision Score
6506
Half Precision Score
1586
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | rothomp3 |
| Upload Date | December 01 2025 04:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD GFX10 Family Unknown Prototype |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
5009
931.6 IPS |
|
|
Image Classification (HP)
|
100% |
4932
917.2 IPS |
|
|
Image Classification (Q)
|
96% |
146
27.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
43315
50.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
38787
45.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2391
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
4775
378.7 IPS |
|
|
Object Detection (HP)
|
100% |
5058
401.2 IPS |
|
|
Object Detection (Q)
|
92% |
174
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
11004
130.7 IPS |
|
|
Face Detection (HP)
|
100% |
11531
137.0 IPS |
|
|
Face Detection (Q)
|
100% |
284
3.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
24384
187.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24337
187.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21644
169.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65755
84.5 IPS |
|
|
Style Transfer (HP)
|
100% |
69834
89.8 IPS |
|
|
Style Transfer (Q)
|
96% |
83774
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11584
427.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15244
562.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13843
511.2 IPS |
|
|
Text Classification (SP)
|
71% |
853
1.23 KIPS |
|
|
Text Classification (HP)
|
71% |
812
1.17 KIPS |
|
|
Text Classification (Q)
|
71% |
767
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1231
21.3 IPS |
