Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
6110
Single Precision Score
2208
Half Precision Score
11106
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4656
865.8 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (Q)
|
99% |
11304
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4866
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17875
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11843
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
60887
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
4840
383.9 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
12978
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
7726
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
13927
166.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13340
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2998
23.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
21694
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25743
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25755
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39187
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3146
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5686
210.5 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1902
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5130
103.1 IPS |
