Gigabyte Technology Co., Ltd. B550M DS3H
Geekbench AI Score
17086
Single Precision Score
28220
Half Precision Score
13440
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | slava-zaxapov |
| Upload Date | March 23 2025 06:02 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6635
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11610
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
5950
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12394
200.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17091
277.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11138
181.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
89113
104.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
223563
260.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77548
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
8453
670.5 IPS |
|
|
Object Detection (HP)
|
100% |
14811
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7485
603.7 IPS |
|
|
Face Detection (SP)
|
100% |
20881
248.1 IPS |
|
|
Face Detection (HP)
|
100% |
32762
389.3 IPS |
|
|
Face Detection (Q)
|
97% |
18601
221.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
40165
309.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74892
577.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32677
261.4 IPS |
|
|
Style Transfer (SP)
|
100% |
136726
175.8 IPS |
|
|
Style Transfer (HP)
|
100% |
328521
422.3 IPS |
|
|
Style Transfer (Q)
|
98% |
122909
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26374
973.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43027
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20326
752.6 IPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3296
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1762
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1869
35.1 IPS |
