Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
19643
Single Precision Score
30989
Half Precision Score
13081
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hyperfox |
| Upload Date | November 10 2025 06:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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 B660M-E DDR4 (MS-7D46) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9653
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
12390
2.30 KIPS |
|
|
Image Classification (Q)
|
100% |
7504
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14975
242.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18495
299.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11490
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
50834
59.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
224018
261.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
42791
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
12560
996.3 IPS |
|
|
Object Detection (HP)
|
100% |
16016
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
9706
779.1 IPS |
|
|
Face Detection (SP)
|
100% |
27828
330.7 IPS |
|
|
Face Detection (HP)
|
100% |
37180
441.8 IPS |
|
|
Face Detection (Q)
|
97% |
19216
229.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62689
483.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97173
748.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35462
284.2 IPS |
|
|
Style Transfer (SP)
|
100% |
189743
243.9 IPS |
|
|
Style Transfer (HP)
|
100% |
505303
649.6 IPS |
|
|
Style Transfer (Q)
|
98% |
127598
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29278
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48357
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15827
586.0 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1780
33.4 IPS |
