NA AX16PRO
Geekbench AI Score
1140
Single Precision Score
591
Half Precision Score
1626
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | June 20 2025 12:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| 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% |
855
159.0 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
96% |
1415
264.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
931
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1450
1.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
3303
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
58% |
1041
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.86 IPS |
|
|
Face Detection (Q)
|
96% |
2909
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2615
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
969
7.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
3317
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5419
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4572
5.88 IPS |
|
|
Style Transfer (Q)
|
87% |
5261
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1038
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.0 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (Q)
|
97% |
562
752.5 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
68% |
965
18.7 IPS |
