ASUS ProArt PX13 HN7306EAC
Geekbench AI Score
4882
Single Precision Score
4911
Half Precision Score
13985
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 17 2026 07:08 PM |
| Views | 4 |
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 | 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% |
3041
565.5 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
100% |
9362
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3089
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10720
173.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (Q)
|
98% |
25303
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
88% |
9304
745.8 IPS |
|
|
Face Detection (SP)
|
100% |
7158
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
7098
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
21482
255.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7380
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6393
49.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
21999
171.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17586
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17571
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
60191
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12593
466.4 IPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5380
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6289
108.3 IPS |
