Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
6162
Single Precision Score
1309
Half Precision Score
7197
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 10:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| 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 | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3497
650.4 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
8979
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
3288
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12158
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9283
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
44637
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
4554
361.3 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
88% |
4062
325.6 IPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
6614
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13342
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1410
10.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
16755
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31255
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23512
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37203
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4214
155.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6865
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
635
850.3 IPS |
|
|
Machine Translation (SP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3876
86.4 IPS |
