Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
15027
Single Precision Score
26686
Half Precision Score
10069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6221
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10657
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
4709
878.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10794
175.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18071
292.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8573
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
69972
81.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
199335
232.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57598
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
7568
600.3 IPS |
|
|
Object Detection (HP)
|
100% |
14157
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
5897
475.6 IPS |
|
|
Face Detection (SP)
|
100% |
17599
209.1 IPS |
|
|
Face Detection (HP)
|
100% |
30696
364.7 IPS |
|
|
Face Detection (Q)
|
97% |
13734
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35578
274.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
66910
516.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
24108
193.0 IPS |
|
|
Style Transfer (SP)
|
100% |
115772
148.8 IPS |
|
|
Style Transfer (HP)
|
100% |
305600
392.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94165
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21848
806.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37305
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13756
509.3 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3322
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1260
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1446
27.1 IPS |
