Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
10796
Single Precision Score
3897
Half Precision Score
16631
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 09 2026 05:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.48 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9326
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (Q)
|
99% |
16183
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19293
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19275
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15286
17.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
61846
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
9331
740.2 IPS |
|
|
Object Detection (HP)
|
100% |
1757
139.3 IPS |
|
|
Object Detection (Q)
|
86% |
16646
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
23578
280.2 IPS |
|
|
Face Detection (HP)
|
100% |
3887
46.2 IPS |
|
|
Face Detection (Q)
|
97% |
17145
204.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24785
191.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5339
41.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
41851
334.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43771
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31423
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51045
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6662
246.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7699
285.1 IPS |
|
|
Text Classification (SP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2722
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6563
131.9 IPS |
