AZW EQ
Geekbench AI Score
4740
Single Precision Score
6074
Half Precision Score
3319
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (Q)
|
100% |
1201
223.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2718
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2209
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23194
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
37666
43.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18075
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (Q)
|
87% |
1423
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
6022
71.5 IPS |
|
|
Face Detection (Q)
|
97% |
3528
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10833
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13525
104.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7978
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38157
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53268
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28416
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8510
314.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11966
441.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4374
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
70% |
816
15.3 IPS |
