AZW SER
Geekbench AI Score
3766
Single Precision Score
3764
Half Precision Score
6433
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | xtoofur |
| Upload Date | December 21 2025 01:04 PM |
| Views | 5 |
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% |
2651
493.0 IPS |
|
|
Image Classification (HP)
|
100% |
2603
484.0 IPS |
|
|
Image Classification (Q)
|
100% |
4491
835.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4575
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5122
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5131
5.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
11276
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
2436
193.3 IPS |
|
|
Object Detection (Q)
|
87% |
4299
344.8 IPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (Q)
|
97% |
12749
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6633
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6401
49.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
11620
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14948
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14955
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32286
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3126
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3155
116.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6837
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (Q)
|
91% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3385
58.3 IPS |
