Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
6337
Single Precision Score
2665
Half Precision Score
12686
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 02:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MPG B850 EDGE TI WIFI (MS-7E62) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4935
917.8 IPS |
|
|
Image Classification (HP)
|
100% |
865
160.9 IPS |
|
|
Image Classification (Q)
|
99% |
12360
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17269
280.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15446
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11864
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
60859
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
4848
384.5 IPS |
|
|
Object Detection (HP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (Q)
|
86% |
14481
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
9915
117.8 IPS |
|
|
Face Detection (HP)
|
100% |
2386
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
14881
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14630
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3928
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
28054
223.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29852
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25809
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49266
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3279
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1905
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4468
89.8 IPS |
