Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
6783
Single Precision Score
2889
Half Precision Score
13037
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 09:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5128
953.7 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.2 IPS |
|
|
Image Classification (Q)
|
99% |
12338
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19429
315.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21338
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
76345
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
5493
435.7 IPS |
|
|
Object Detection (HP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (Q)
|
86% |
15416
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
9128
108.5 IPS |
|
|
Face Detection (HP)
|
100% |
2515
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
14805
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17944
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4115
31.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
32303
257.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39636
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33034
42.5 IPS |
|
|
Style Transfer (Q)
|
98% |
47271
61.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4415
163.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2803
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4226
84.9 IPS |
