MacPro7,1
Geekbench AI Score
1659
Single Precision Score
1314
Half Precision Score
852
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 03 2024 09:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-13900 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Micro-Star International Co., Ltd. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 8 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
96% |
322
60.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
520
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
4756
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1845
2.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
1616
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (Q)
|
92% |
385
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (Q)
|
100% |
584
6.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
2514
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
19.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1414
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6033
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6497
8.35 IPS |
|
|
Style Transfer (Q)
|
96% |
4641
5.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
741
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
674
900.1 IPS |
|
|
Text Classification (HP)
|
100% |
653
871.2 IPS |
|
|
Text Classification (Q)
|
93% |
654
877.4 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1042
18.0 IPS |
