AZW SER
Geekbench AI Score
3676
Single Precision Score
3711
Half Precision Score
6243
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fraludio |
| Upload Date | March 08 2025 10:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Alto rendimiento |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
2338
434.8 IPS |
|
|
Image Classification (Q)
|
100% |
4494
835.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4584
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5036
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
11135
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (Q)
|
87% |
4277
343.0 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (Q)
|
97% |
12356
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6015
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6169
47.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11757
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14507
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14565
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32155
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2810
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2892
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6567
243.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
948
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3155
54.3 IPS |
