AZW EQ
Geekbench AI Score
4820
Single Precision Score
5980
Half Precision Score
3335
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:39 PM |
| Views | 3 |
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% |
1868
347.4 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.5 IPS |
|
|
Image Classification (Q)
|
100% |
1248
232.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2233
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23126
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
37458
43.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18050
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.1 IPS |
|
|
Object Detection (HP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (Q)
|
87% |
1456
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (Q)
|
97% |
3513
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9834
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12638
97.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7987
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38529
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53113
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28297
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8387
309.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11999
443.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4504
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (Q)
|
97% |
794
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (Q)
|
70% |
820
15.4 IPS |
