AZW SER
Geekbench AI Score
3126
Single Precision Score
1462
Half Precision Score
7016
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
5913
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7092
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4275
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4095
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
20924
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
7242
582.0 IPS |
|
|
Face Detection (SP)
|
100% |
5361
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10396
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6497
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2197
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7030
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11904
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10246
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21801
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5828
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1716
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2855
57.4 IPS |
