Gigabyte Technology Co., Ltd. B650M D3HP
Geekbench AI Score
11848
Single Precision Score
21368
Half Precision Score
7905
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 04 2025 04:11 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4958
922.0 IPS |
|
|
Image Classification (HP)
|
99% |
9253
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
3899
727.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7693
124.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12747
206.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6113
99.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
50112
58.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152424
177.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
41362
48.5 IPS |
|
|
Object Detection (SP)
|
100% |
5929
470.3 IPS |
|
|
Object Detection (HP)
|
100% |
11562
917.1 IPS |
|
|
Object Detection (Q)
|
84% |
4579
369.3 IPS |
|
|
Face Detection (SP)
|
100% |
12987
154.3 IPS |
|
|
Face Detection (HP)
|
100% |
22467
267.0 IPS |
|
|
Face Detection (Q)
|
97% |
10289
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26704
205.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53307
411.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
18361
147.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84665
108.8 IPS |
|
|
Style Transfer (HP)
|
100% |
216884
278.8 IPS |
|
|
Style Transfer (Q)
|
98% |
67340
86.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17364
641.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30027
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9816
363.5 IPS |
|
|
Text Classification (SP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3682
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1347
25.3 IPS |
