ASUS ProArt PX13 HN7306EAC
Geekbench AI Score
4370
Single Precision Score
1656
Half Precision Score
8195
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 17 2026 06:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS ProArt PX13 HN7306EAC |
| Motherboard | ASUSTeK COMPUTER INC. HN7306EAC |
| Power Plan | 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% |
3882
721.9 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
99% |
8654
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11580
188.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7059
8.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
32715
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
3568
283.0 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
9175
737.4 IPS |
|
|
Face Detection (SP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
1477
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
10059
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11094
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2139
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8819
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20636
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16646
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36516
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2790
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2535
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3367
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.9 IPS |
|
|
Text Classification (Q)
|
97% |
1376
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3027
60.8 IPS |
