Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
6236
Single Precision Score
2477
Half Precision Score
11494
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| 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 9950X |
| 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% |
5041
937.5 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (Q)
|
99% |
10790
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18697
304.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21732
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14431
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
70987
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
5302
420.6 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
11397
915.9 IPS |
|
|
Face Detection (SP)
|
100% |
11519
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
1957
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
13390
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14785
113.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3247
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
24167
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31679
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26379
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43806
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3231
119.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3404
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1211
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3247
65.3 IPS |
