AZW SER
Geekbench AI Score
2930
Single Precision Score
1369
Half Precision Score
4494
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 03:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
96% |
4202
784.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
4865
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4737
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
9565
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
58% |
2766
302.3 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
4869
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6112
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2027
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9112
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11124
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9176
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13181
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3576
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1322
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2250
43.5 IPS |
