Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
12808
Single Precision Score
12790
Half Precision Score
31300
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 24 2025 02:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| 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% |
7251
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7228
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
16747
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8903
144.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9409
152.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26063
422.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23998
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24206
28.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
94346
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
7825
620.7 IPS |
|
|
Object Detection (HP)
|
100% |
7598
602.7 IPS |
|
|
Object Detection (Q)
|
88% |
18982
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
17149
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
17518
208.1 IPS |
|
|
Face Detection (Q)
|
100% |
49736
591.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19315
148.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19665
151.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
58025
451.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62857
80.8 IPS |
|
|
Style Transfer (HP)
|
100% |
62884
80.8 IPS |
|
|
Style Transfer (Q)
|
98% |
226434
292.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12615
465.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12300
454.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34239
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
4546
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4307
5.75 KIPS |
|
|
Text Classification (Q)
|
92% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
8213
141.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8165
140.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9229
159.0 IPS |
