B550M-HDV
Geekbench AI Score
3513
Single Precision Score
4832
Half Precision Score
2611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 24 2025 06:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | B550M-HDV |
| Motherboard | ASRock B550M-HDV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
1957
363.9 IPS |
|
|
Image Classification (Q)
|
100% |
1264
235.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13323
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
23789
27.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10807
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (Q)
|
88% |
1350
108.3 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
2755
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8103
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11960
92.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6173
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23160
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38451
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17984
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7433
274.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3256
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1225
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (Q)
|
70% |
825
15.5 IPS |
