To Be Filled By O.E.M. A520M-ITX/ac
Geekbench AI Score
1173
Single Precision Score
1164
Half Precision Score
870
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | reklis |
| Upload Date | November 06 2024 11:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | To Be Filled By O.E.M. A520M-ITX/ac |
| Motherboard | ASRock A520M-ITX/ac |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.7 IPS |
|
|
Image Classification (Q)
|
99% |
521
97.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
675
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1674
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1675
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
1731
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
859
68.2 IPS |
|
|
Object Detection (HP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (Q)
|
85% |
566
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
1221
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1372
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1168
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1998
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1986
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3284
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
871
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
456
613.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
58% |
389
9.14 IPS |
