AZW SER
Geekbench AI Score
3114
Single Precision Score
1452
Half Precision Score
5051
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 07:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2682
498.8 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
96% |
4456
832.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
5311
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4972
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4112
4.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
10458
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
58% |
2976
325.1 IPS |
|
|
Face Detection (SP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
7536
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6664
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2156
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9602
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11802
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9872
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
15765
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1802
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3805
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1412
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2396
46.3 IPS |
