To Be Filled By O.E.M. A520M-ITX/ac
Geekbench AI Score
1267
Single Precision Score
1272
Half Precision Score
963
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 11:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 4650GE |
| 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 4650GE |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (HP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (Q)
|
99% |
574
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
729
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1603
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
1822
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (Q)
|
85% |
621
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1516
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1579
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1475
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1461
11.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1240
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2010
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2035
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3417
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
510
684.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (Q)
|
58% |
449
10.5 IPS |
