Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
13926
Single Precision Score
23782
Half Precision Score
9604
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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 i5-14400F |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6167
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10228
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
4592
856.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8556
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12454
201.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7039
114.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
68757
80.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
192736
224.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57698
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
7492
594.3 IPS |
|
|
Object Detection (HP)
|
100% |
12875
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
5497
443.3 IPS |
|
|
Face Detection (SP)
|
100% |
15970
189.8 IPS |
|
|
Face Detection (HP)
|
100% |
25178
299.2 IPS |
|
|
Face Detection (Q)
|
97% |
12867
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33908
261.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
67192
519.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
24114
193.0 IPS |
|
|
Style Transfer (SP)
|
100% |
115539
148.5 IPS |
|
|
Style Transfer (HP)
|
100% |
296172
380.7 IPS |
|
|
Style Transfer (Q)
|
98% |
94228
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21371
789.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36074
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13619
504.3 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3313
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1263
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1295
24.3 IPS |
