Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
8087
Single Precision Score
2835
Half Precision Score
12725
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 05:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
5331
991.3 IPS |
|
|
Image Classification (HP)
|
100% |
866
161.0 IPS |
|
|
Image Classification (Q)
|
99% |
11750
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3299
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5532
89.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28280
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16880
19.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
79665
93.4 IPS |
|
|
Object Detection (SP)
|
100% |
5278
418.6 IPS |
|
|
Object Detection (HP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (Q)
|
86% |
14258
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
9868
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
15067
179.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19770
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4112
31.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
29957
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43981
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37522
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
48556
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3571
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6057
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5810
116.7 IPS |
