AZW EQ
Geekbench AI Score
3899
Single Precision Score
3929
Half Precision Score
6568
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2679
498.3 IPS |
|
|
Image Classification (HP)
|
100% |
2726
507.0 IPS |
|
|
Image Classification (Q)
|
100% |
4538
844.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4210
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5300
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5324
6.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
11364
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (Q)
|
87% |
4665
374.2 IPS |
|
|
Face Detection (SP)
|
100% |
5661
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
97% |
12679
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6525
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6774
52.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
12122
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15074
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15341
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32349
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3079
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3035
112.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6721
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2700
3.60 KIPS |
|
|
Text Classification (Q)
|
91% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3613
62.2 IPS |
