Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
5504
Single Precision Score
2294
Half Precision Score
10683
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 10:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4633
861.6 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.7 IPS |
|
|
Image Classification (Q)
|
99% |
9612
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11720
190.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7476
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
6400
7.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
27824
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
9934
798.4 IPS |
|
|
Face Detection (SP)
|
100% |
10002
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
12288
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11143
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3087
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20557
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18725
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16739
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32821
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3278
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3109
114.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7170
265.5 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1238
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2090
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5005
100.6 IPS |
