Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
13632
Single Precision Score
24122
Half Precision Score
9262
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 09:18 AM |
| Views | 2 |
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 i5-13400 |
| 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% |
6177
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10457
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
4390
818.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9098
147.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13916
225.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7445
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
62750
73.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
182437
212.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
52569
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
6811
540.2 IPS |
|
|
Object Detection (HP)
|
100% |
13139
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
5806
468.3 IPS |
|
|
Face Detection (SP)
|
100% |
15708
186.6 IPS |
|
|
Face Detection (HP)
|
100% |
26407
313.8 IPS |
|
|
Face Detection (Q)
|
97% |
12324
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32201
248.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64958
501.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
21536
172.4 IPS |
|
|
Style Transfer (SP)
|
100% |
108913
140.0 IPS |
|
|
Style Transfer (HP)
|
100% |
285827
367.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87934
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20933
773.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35572
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13018
482.0 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1262
23.7 IPS |
