Micro-Star International Co., Ltd. MS-7E44
Geekbench AI Score
2209
Single Precision Score
1129
Half Precision Score
4751
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 06:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E44 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-S DDR4 (MS-7E44) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (Q)
|
99% |
4518
842.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2330
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2628
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
12784
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
3953
317.7 IPS |
|
|
Face Detection (SP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
5927
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3823
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1626
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10676
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7319
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
6074
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14165
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3268
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.4 IPS |
|
|
Text Classification (Q)
|
97% |
1442
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2610
52.4 IPS |
