AZW SER
Geekbench AI Score
649
Single Precision Score
649
Half Precision Score
494
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 19 2025 05:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3750H |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3750H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
799
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
85% |
357
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
863
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
830
6.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
833
6.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
655
6.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1211
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1220
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1652
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.0 IPS |
|
|
Text Classification (HP)
|
100% |
661
882.4 IPS |
|
|
Text Classification (Q)
|
92% |
281
376.9 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
58% |
246
5.78 IPS |
