MacPro7,1
Geekbench AI Score
1128
Single Precision Score
808
Half Precision Score
616
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | August 18 2024 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 32.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (Q)
|
99% |
355
66.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (Q)
|
100% |
479
7.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
2838
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1111
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
92% |
207
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (Q)
|
100% |
299
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
1938
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1686
13.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1672
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4447
5.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4218
5.42 IPS |
|
|
Style Transfer (Q)
|
100% |
4332
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
421
561.4 IPS |
|
|
Text Classification (Q)
|
93% |
417
560.2 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (Q)
|
98% |
546
9.44 IPS |
