AZW SER
Geekbench AI Score
4075
Single Precision Score
4040
Half Precision Score
6517
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 06:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS with Radeon Graphics |
| 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% |
2880
535.6 IPS |
|
|
Image Classification (HP)
|
100% |
2862
532.2 IPS |
|
|
Image Classification (Q)
|
100% |
4747
882.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4223
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5618
6.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
11435
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (Q)
|
87% |
4760
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
5518
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
5574
66.2 IPS |
|
|
Face Detection (Q)
|
97% |
12539
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7088
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7178
55.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
12507
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15966
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16420
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34740
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3281
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3303
122.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7080
262.3 IPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (Q)
|
91% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3452
59.5 IPS |
