Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
2142
Single Precision Score
1113
Half Precision Score
4110
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-12100 |
| 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 i3-12100 |
| 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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (Q)
|
99% |
3841
716.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2076
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2657
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
10904
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
3396
273.0 IPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
5537
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3876
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1561
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8754
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7184
9.24 IPS |
|
|
Style Transfer (HP)
|
100% |
5365
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
10916
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2888
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1949
39.2 IPS |
