AZW SER
Geekbench AI Score
1309
Single Precision Score
1320
Half Precision Score
931
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | starmito |
| Upload Date | November 10 2024 01:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5560U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5560U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 12.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (Q)
|
99% |
595
111.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
670
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1504
1.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1564
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (Q)
|
85% |
607
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1622
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1417
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1408
10.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1148
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1759
2.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1767
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3102
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
909
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
554
744.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (Q)
|
58% |
446
10.5 IPS |
