Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
13736
Single Precision Score
23337
Half Precision Score
9406
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 09:41 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-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5966
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
10030
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
4448
829.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9048
146.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13683
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7352
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66497
77.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
169674
198.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
55351
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
7297
578.8 IPS |
|
|
Object Detection (HP)
|
100% |
12600
999.5 IPS |
|
|
Object Detection (Q)
|
84% |
5554
448.0 IPS |
|
|
Face Detection (SP)
|
100% |
15987
190.0 IPS |
|
|
Face Detection (HP)
|
100% |
25492
302.9 IPS |
|
|
Face Detection (Q)
|
97% |
12476
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33168
255.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64708
499.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
22133
177.2 IPS |
|
|
Style Transfer (SP)
|
100% |
111610
143.5 IPS |
|
|
Style Transfer (HP)
|
100% |
287059
369.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89994
116.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20576
759.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34061
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13303
492.6 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3018
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1345
25.2 IPS |
