Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
13440
Single Precision Score
24133
Half Precision Score
9136
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 04:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel N (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Utilisation normale |
| 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% |
5904
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
10306
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
4494
838.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9501
154.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14042
227.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7499
121.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
60922
71.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
210301
245.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
50805
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
6765
536.6 IPS |
|
|
Object Detection (HP)
|
100% |
12246
971.4 IPS |
|
|
Object Detection (Q)
|
84% |
5172
417.2 IPS |
|
|
Face Detection (SP)
|
100% |
15680
186.3 IPS |
|
|
Face Detection (HP)
|
100% |
26928
320.0 IPS |
|
|
Face Detection (Q)
|
97% |
12279
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32826
252.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62587
482.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22233
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
111167
142.9 IPS |
|
|
Style Transfer (HP)
|
100% |
267694
344.1 IPS |
|
|
Style Transfer (Q)
|
98% |
87754
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18533
684.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32482
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11356
420.5 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3117
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1144
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1470
27.6 IPS |
