Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
10698
Single Precision Score
10809
Half Precision Score
27177
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZachDNichols |
| Upload Date | September 29 2025 08:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Ultimate Performance |
| 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% |
5613
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6053
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15949
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8339
135.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7948
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21430
347.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23492
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23378
27.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
93257
109.2 IPS |
|
|
Object Detection (SP)
|
100% |
6250
495.7 IPS |
|
|
Object Detection (HP)
|
100% |
5714
453.2 IPS |
|
|
Object Detection (Q)
|
88% |
16014
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
11557
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
11722
139.3 IPS |
|
|
Face Detection (Q)
|
100% |
37876
450.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16835
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16109
124.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
46250
359.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59670
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58049
74.6 IPS |
|
|
Style Transfer (Q)
|
98% |
216629
279.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10678
394.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11390
420.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32292
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3772
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6737
116.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6857
118.1 IPS |
