NA AX16PRO
Geekbench AI Score
1423
Single Precision Score
1795
Half Precision Score
1203
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | June 20 2025 12:25 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 | NA AX16PRO |
| Motherboard | NA AX16PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
528
8.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
8570
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15662
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
6441
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
88% |
669
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
1125
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4113
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4132
31.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3050
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14698
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17116
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9966
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1471
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
320
426.9 IPS |
|
|
Text Classification (HP)
|
100% |
355
474.2 IPS |
|
|
Text Classification (Q)
|
97% |
218
292.5 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
414
7.76 IPS |
