mini-OpenVINO-cpu AZW SER
Geekbench AI Score
3729
Single Precision Score
3694
Half Precision Score
6603
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 05:45 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 6800U 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 6800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2591
481.9 IPS |
|
|
Image Classification (HP)
|
100% |
2590
481.6 IPS |
|
|
Image Classification (Q)
|
100% |
4589
853.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4443
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5247
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
11677
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (Q)
|
87% |
4437
355.9 IPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
12062
143.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6500
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6551
50.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
12195
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15068
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15063
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33835
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3125
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3114
115.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7090
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (Q)
|
91% |
1178
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3590
61.8 IPS |
