Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
8225
Single Precision Score
3383
Half Precision Score
13623
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BantalBambu |
| Upload Date | March 26 2026 01:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7255
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
1265
235.2 IPS |
|
|
Image Classification (Q)
|
99% |
13358
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14772
240.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13900
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11190
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
44469
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
6722
533.2 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.3 IPS |
|
|
Object Detection (Q)
|
86% |
14252
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
12242
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
14849
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16986
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4534
34.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29607
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32096
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23682
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40326
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5253
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2603
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5523
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.9 IPS |
|
|
Machine Translation (Q)
|
65% |
7263
145.9 IPS |
