AZW EQ
Geekbench AI Score
2958
Single Precision Score
1316
Half Precision Score
4438
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:57 PM |
| Views | 2 |
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% |
2582
480.2 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
96% |
4468
834.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
2383
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
10145
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (Q)
|
58% |
2877
314.4 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (Q)
|
96% |
7227
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7057
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2022
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9470
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12364
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10167
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15887
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2387
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
697
929.9 IPS |
|
|
Text Classification (Q)
|
97% |
1460
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2522
48.7 IPS |
