Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
3728
Single Precision Score
1675
Half Precision Score
6083
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 07:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1810
336.7 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
4683
873.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4278
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9961
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7222
8.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
40948
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
88% |
2186
175.2 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
5815
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8583
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2495
19.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
10627
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20044
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19607
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36864
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2354
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3835
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
697
931.0 IPS |
|
|
Text Classification (Q)
|
97% |
1370
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3237
72.2 IPS |
