Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3186
Single Precision Score
1374
Half Precision Score
5731
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 09:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
4778
891.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2880
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
17401
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5126
412.0 IPS |
|
|
Face Detection (SP)
|
100% |
5920
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
7864
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6538
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1914
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12357
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11811
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8850
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20595
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1798
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3724
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.5 IPS |
|
|
Text Classification (Q)
|
97% |
1587
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2636
53.0 IPS |
