Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
7028
Single Precision Score
2675
Half Precision Score
12512
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 03:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5263
978.7 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (Q)
|
99% |
13907
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17918
291.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16772
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13079
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
56518
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
6207
492.4 IPS |
|
|
Object Detection (HP)
|
100% |
1033
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
15406
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
10110
120.1 IPS |
|
|
Face Detection (HP)
|
100% |
2072
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
14785
176.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16637
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3794
29.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29704
237.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39444
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35938
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40547
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3076
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1851
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4277
85.9 IPS |
