MacPro7,1
Geekbench AI Score
926
Single Precision Score
698
Half Precision Score
529
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | 0zzy |
| Upload Date | August 22 2024 05:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10980XE |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
99% |
280
52.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
100% |
295
4.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
1982
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
92% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
1271
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.36 IPS |
|
|
Depth Estimation (Q)
|
97% |
569
4.40 IPS |
|
|
Style Transfer (SP)
|
100% |
4800
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
5145
6.61 IPS |
|
|
Style Transfer (Q)
|
100% |
4983
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
326
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.0 IPS |
|
|
Text Classification (HP)
|
100% |
378
504.5 IPS |
|
|
Text Classification (Q)
|
93% |
379
509.0 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (Q)
|
98% |
542
9.37 IPS |
