Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
7202
Single Precision Score
2765
Half Precision Score
11822
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5175
962.5 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
11672
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4909
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24932
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16101
18.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
75121
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (HP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (Q)
|
86% |
13066
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
8912
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
2487
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
14724
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19442
149.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4091
31.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
28081
224.1 IPS |
|
|
Style Transfer (SP)
|
100% |
46175
59.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36870
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
41456
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3605
133.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5994
221.9 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2071
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4456
89.5 IPS |
