AZW SER
Geekbench AI Score
1316
Single Precision Score
1318
Half Precision Score
1029
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | m8118 |
| Upload Date | October 11 2024 11:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 4.37 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1072
199.3 IPS |
|
|
Image Classification (HP)
|
100% |
1071
199.1 IPS |
|
|
Image Classification (Q)
|
99% |
720
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
797
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1985
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
907
71.9 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
85% |
648
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1626
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1503
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1486
11.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1346
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1984
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1978
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3572
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
1138
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1181
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
518
696.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
58% |
431
10.1 IPS |
