Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3200
Single Precision Score
1393
Half Precision Score
5805
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 09:13 AM |
| Views | 1 |
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% |
2377
442.0 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
99% |
5022
936.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2911
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4924
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3651
4.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
17268
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
86% |
5015
403.0 IPS |
|
|
Face Detection (SP)
|
100% |
6032
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
8033
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6524
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1970
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12489
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11870
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8851
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20942
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3808
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.8 IPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2714
54.5 IPS |
