Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
16395
Single Precision Score
27187
Half Precision Score
13067
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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 i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6615
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
10479
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
5276
984.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11022
178.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14666
237.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10330
168.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
74270
86.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
230277
268.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
74138
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
8329
660.6 IPS |
|
|
Object Detection (HP)
|
100% |
14395
1.14 KIPS |
|
|
Object Detection (Q)
|
84% |
7486
603.8 IPS |
|
|
Face Detection (SP)
|
100% |
19994
237.6 IPS |
|
|
Face Detection (HP)
|
100% |
31945
379.6 IPS |
|
|
Face Detection (Q)
|
97% |
17854
212.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40461
311.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75147
579.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32966
263.7 IPS |
|
|
Style Transfer (SP)
|
100% |
132488
170.3 IPS |
|
|
Style Transfer (HP)
|
100% |
330755
425.2 IPS |
|
|
Style Transfer (Q)
|
98% |
119868
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28032
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45232
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20476
758.2 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3464
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1867
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1780
33.4 IPS |
