AZW EQ
Geekbench AI Score
2980
Single Precision Score
1309
Half Precision Score
4446
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:54 PM |
| Views | 3 |
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 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% |
2553
474.8 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
96% |
4465
833.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
2349
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4145
4.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
10127
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
58% |
2887
315.4 IPS |
|
|
Face Detection (SP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
96% |
7140
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7043
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2003
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9427
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12467
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10123
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15853
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2428
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
701
936.3 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2571
49.7 IPS |
