Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
10436
Single Precision Score
18067
Half Precision Score
7214
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daviangel |
| Upload Date | March 08 2025 09:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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 DDR4(MS-7D25) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4377
814.0 IPS |
|
|
Image Classification (HP)
|
99% |
7539
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
3422
638.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6320
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9716
157.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5238
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
49404
57.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
141530
165.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
40910
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
5234
415.2 IPS |
|
|
Object Detection (HP)
|
100% |
9351
741.7 IPS |
|
|
Object Detection (Q)
|
84% |
4142
334.1 IPS |
|
|
Face Detection (SP)
|
100% |
11250
133.7 IPS |
|
|
Face Detection (HP)
|
100% |
18642
221.5 IPS |
|
|
Face Detection (Q)
|
97% |
9064
108.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25314
195.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49987
386.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17887
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82031
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205123
263.7 IPS |
|
|
Style Transfer (Q)
|
98% |
66470
85.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15974
589.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27061
999.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9424
349.0 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2743
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1158
21.7 IPS |
