To Be Filled By O.E.M. A520M-ITX/ac
Geekbench AI Score
1330
Single Precision Score
1308
Half Precision Score
1359
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | sw0000 |
| Upload Date | February 10 2025 03:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 3400GE w/ Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. A520M-ITX/ac |
| Motherboard | ASRock A520M-ITX/ac |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 3400GE |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
866
161.1 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.4 IPS |
|
|
Image Classification (Q)
|
100% |
847
157.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
529
8.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1526
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
1634
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.5 IPS |
|
|
Object Detection (Q)
|
87% |
843
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2043
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
2535
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2151
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2171
16.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
2147
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4489
5.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4479
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4746
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1015
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
91% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1624
28.0 IPS |
