Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
17396
Single Precision Score
30203
Half Precision Score
13714
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7118
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13894
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
6458
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10238
166.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13486
218.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9454
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
96251
112.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
281859
328.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
79928
93.6 IPS |
|
|
Object Detection (SP)
|
100% |
9472
751.3 IPS |
|
|
Object Detection (HP)
|
100% |
14332
1.14 KIPS |
|
|
Object Detection (Q)
|
83% |
8231
665.0 IPS |
|
|
Face Detection (SP)
|
100% |
20693
245.9 IPS |
|
|
Face Detection (HP)
|
100% |
30952
367.8 IPS |
|
|
Face Detection (Q)
|
97% |
18953
226.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45824
353.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
90565
697.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
37203
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
140701
180.9 IPS |
|
|
Style Transfer (HP)
|
100% |
471785
606.5 IPS |
|
|
Style Transfer (Q)
|
98% |
123753
159.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26491
978.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47113
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20216
748.6 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2088
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1591
29.8 IPS |
