Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
1971
Single Precision Score
2163
Half Precision Score
1598
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 10:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.3 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6595
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
10805
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5915
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
87% |
677
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
2011
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3758
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4476
34.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3280
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11258
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16335
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9875
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2070
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.8 IPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
507
679.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
70% |
615
11.5 IPS |
