Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
7212
Single Precision Score
11709
Half Precision Score
5238
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 04:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2149
399.6 IPS |
|
|
Image Classification (HP)
|
99% |
3385
631.3 IPS |
|
|
Image Classification (Q)
|
99% |
1590
296.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8847
143.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12894
209.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3594
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32098
37.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88025
102.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
26514
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2907
230.6 IPS |
|
|
Object Detection (HP)
|
100% |
5055
400.9 IPS |
|
|
Object Detection (Q)
|
84% |
5481
442.1 IPS |
|
|
Face Detection (SP)
|
100% |
7277
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
11417
135.7 IPS |
|
|
Face Detection (Q)
|
97% |
9232
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19192
147.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66287
512.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23194
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53972
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
142963
183.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46480
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7647
282.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13259
489.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5919
219.2 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
539
719.4 IPS |
|
|
Text Classification (Q)
|
97% |
546
732.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (Q)
|
70% |
583
10.9 IPS |
