B550M-HDV
Geekbench AI Score
4531
Single Precision Score
4527
Half Precision Score
7948
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 24 2025 06:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon 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% |
2936
546.0 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.3 IPS |
|
|
Image Classification (Q)
|
100% |
5550
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3090
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5763
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5984
6.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
14634
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2767
219.5 IPS |
|
|
Object Detection (Q)
|
87% |
5479
439.4 IPS |
|
|
Face Detection (SP)
|
100% |
5032
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (Q)
|
97% |
15126
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7367
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7398
57.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
14421
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17222
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41209
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8372
310.1 IPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1308
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3989
68.7 IPS |
