AZW SER
Geekbench AI Score
3387
Single Precision Score
1553
Half Precision Score
5435
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 04:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| 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% |
2769
515.0 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
96% |
4942
923.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
5830
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5939
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4847
5.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
11602
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (HP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (Q)
|
58% |
3301
360.7 IPS |
|
|
Face Detection (SP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1662
19.7 IPS |
|
|
Face Detection (Q)
|
96% |
8311
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2476
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10568
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14245
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7928
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13117
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4349
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1000
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1565
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2604
50.3 IPS |
