Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
7728
Single Precision Score
2755
Half Precision Score
12351
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4992
928.4 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.9 IPS |
|
|
Image Classification (Q)
|
99% |
10760
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2631
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5341
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28146
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15421
18.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
79072
92.7 IPS |
|
|
Object Detection (SP)
|
100% |
5365
425.5 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
86% |
12927
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10005
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
14330
170.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19084
147.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3986
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
30373
242.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45642
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36996
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
48104
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6383
236.4 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2008
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5244
105.4 IPS |
