Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
13564
Single Precision Score
23253
Half Precision Score
9235
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:55 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-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI (MS-7D46) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6200
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10293
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
4504
840.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8495
137.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12257
198.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6895
112.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
64825
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
177044
206.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
55826
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7108
563.8 IPS |
|
|
Object Detection (HP)
|
100% |
12615
1.00 KIPS |
|
|
Object Detection (Q)
|
84% |
5315
428.7 IPS |
|
|
Face Detection (SP)
|
100% |
16013
190.3 IPS |
|
|
Face Detection (HP)
|
100% |
25259
300.1 IPS |
|
|
Face Detection (Q)
|
97% |
12033
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
31349
241.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64426
497.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
22873
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
111931
143.9 IPS |
|
|
Style Transfer (HP)
|
100% |
282953
363.7 IPS |
|
|
Style Transfer (Q)
|
98% |
89409
115.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20816
768.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35517
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13258
490.9 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3278
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1258
23.6 IPS |
