Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
6958
Single Precision Score
2680
Half Precision Score
13164
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:45 PM |
| Views | 2 |
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) |
| 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% |
5477
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (Q)
|
99% |
13155
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19177
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21688
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14230
16.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
70953
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
5582
442.7 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
14478
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
9602
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
14490
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15242
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3864
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30151
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34806
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30996
39.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48376
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4241
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3687
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4252
85.4 IPS |
