Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
7474
Single Precision Score
3001
Half Precision Score
12724
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 24 2025 02:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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% |
5423
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
989
183.9 IPS |
|
|
Image Classification (Q)
|
99% |
12976
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17851
290.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22930
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15634
18.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
68448
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
5751
456.1 IPS |
|
|
Object Detection (HP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (Q)
|
86% |
14706
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
10359
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
15515
185.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16980
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4279
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30974
247.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42597
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32358
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
45921
59.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4687
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3779
139.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2367
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5254
105.6 IPS |
