Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
9106
Single Precision Score
17653
Half Precision Score
6330
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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 i5-14400 |
| 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% |
4033
750.1 IPS |
|
|
Image Classification (HP)
|
99% |
8160
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
3194
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5655
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9445
153.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4465
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36029
42.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
120756
140.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30273
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4228
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
9576
759.6 IPS |
|
|
Object Detection (Q)
|
84% |
3539
285.4 IPS |
|
|
Face Detection (SP)
|
100% |
8608
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
16788
199.5 IPS |
|
|
Face Detection (Q)
|
97% |
8056
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21554
166.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47476
365.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15284
122.5 IPS |
|
|
Style Transfer (SP)
|
100% |
64817
83.3 IPS |
|
|
Style Transfer (HP)
|
100% |
177078
227.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50648
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13314
491.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25266
932.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7966
295.0 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3095
4.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1243
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1095
20.5 IPS |
