Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
5113
Single Precision Score
1907
Half Precision Score
9746
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 06:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4070
757.0 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.7 IPS |
|
|
Image Classification (Q)
|
99% |
8762
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11786
191.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11664
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8656
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
36500
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
4059
322.0 IPS |
|
|
Object Detection (HP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
86% |
9607
772.1 IPS |
|
|
Face Detection (SP)
|
100% |
8065
95.8 IPS |
|
|
Face Detection (HP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
11052
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11155
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2799
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20751
165.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21025
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35156
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2606
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1415
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4331
87.0 IPS |
