AZW SER
Geekbench AI Score
3028
Single Precision Score
1349
Half Precision Score
5009
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 06:37 AM |
| Views | 7 |
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% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
96% |
4577
854.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
5301
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4844
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3939
4.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
10241
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
58% |
2936
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
7456
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6532
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2043
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9674
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11538
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9381
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15521
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3677
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1435
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2309
44.6 IPS |
