ASUS ProArt PX13 HN7306EAC
Geekbench AI Score
5759
Single Precision Score
5714
Half Precision Score
13113
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | February 11 2026 04:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS ProArt PX13 HN7306EAC |
| Motherboard | ASUSTeK COMPUTER INC. HN7306EAC |
| Power Plan | PD_Standard |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3680
684.3 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.2 IPS |
|
|
Image Classification (Q)
|
100% |
8585
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4160
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8085
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7550
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
7619
8.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
27836
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3957
313.9 IPS |
|
|
Object Detection (HP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (Q)
|
88% |
8072
647.1 IPS |
|
|
Face Detection (SP)
|
100% |
8736
103.8 IPS |
|
|
Face Detection (HP)
|
100% |
8965
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
22222
264.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9378
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10198
78.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
21626
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18247
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17685
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
67875
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11330
419.6 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4296
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6071
104.6 IPS |
