Gigabyte Technology Co., Ltd. B450M DS3H V2
Geekbench AI Score
6941
Single Precision Score
7429
Half Precision Score
5012
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2616
486.6 IPS |
|
|
Image Classification (HP)
|
100% |
3174
590.3 IPS |
|
|
Image Classification (Q)
|
100% |
2187
406.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3333
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3531
57.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2847
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
48849
57.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
50983
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
38796
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
2993
237.4 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (Q)
|
88% |
2563
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
8257
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
10166
120.8 IPS |
|
|
Face Detection (Q)
|
97% |
6519
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16519
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18479
142.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12193
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80130
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
81913
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59040
76.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11079
409.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11814
436.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6949
257.3 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
645
864.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1531
26.5 IPS |
|
|
Machine Translation (Q)
|
70% |
769
14.4 IPS |
