NA AX16PRO
Geekbench AI Score
912
Single Precision Score
934
Half Precision Score
1134
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | June 20 2025 12:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U with Radeon 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% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
100% |
912
169.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
403
6.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1288
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1315
1.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
1524
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
87% |
544
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
2624
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1940
14.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
2516
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3778
4.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3749
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6475
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.3 IPS |
|
|
Text Classification (HP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
100% |
954
16.4 IPS |
