Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
14668
Single Precision Score
25552
Half Precision Score
9850
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MaisieMarlowe |
| Upload Date | February 16 2025 10:30 PM |
| 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 DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6388
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
10840
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4802
895.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9531
154.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14450
234.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7710
125.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
70677
82.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
190421
222.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
56616
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
7394
586.5 IPS |
|
|
Object Detection (HP)
|
100% |
13974
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
5715
461.0 IPS |
|
|
Face Detection (SP)
|
100% |
16953
201.4 IPS |
|
|
Face Detection (HP)
|
100% |
28045
333.2 IPS |
|
|
Face Detection (Q)
|
97% |
13377
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34897
268.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68228
527.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23693
189.7 IPS |
|
|
Style Transfer (SP)
|
100% |
118189
151.9 IPS |
|
|
Style Transfer (HP)
|
100% |
307084
394.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93711
120.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22297
823.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38132
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13893
514.4 IPS |
|
|
Text Classification (SP)
|
100% |
2631
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3555
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1285
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1354
25.4 IPS |
