Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
2317
Single Precision Score
1158
Half Precision Score
4962
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 10:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| 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 i5-12400 |
| 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% |
1808
336.2 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
99% |
4974
927.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2487
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
14457
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
86% |
4711
378.6 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6603
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5131
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1611
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10154
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8101
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6589
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
12576
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3544
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.7 IPS |
|
|
Text Classification (Q)
|
97% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2427
48.8 IPS |
