MacPro7,1
Geekbench AI Score
875
Single Precision Score
115
Half Precision Score
87
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | April 19 2025 08:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1299
1.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
1061
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
1403
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1208
9.31 IPS |
|
|
Depth Estimation (Q)
|
85% |
663
5.18 IPS |
|
|
Style Transfer (SP)
|
100% |
4941
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4423
5.69 IPS |
|
|
Style Transfer (Q)
|
96% |
2998
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
361
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.0 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.8 IPS |
|
|
Text Classification (Q)
|
93% |
292
391.2 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
98% |
452
7.81 IPS |
