ASUSTeK COMPUTER INC. ProArt PX13 HN7306WI_HN7306WI
Geekbench AI Score
5469
Single Precision Score
5444
Half Precision Score
13657
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 01:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt PX13 HN7306WI_HN7306WI |
| Motherboard | ASUSTeK COMPUTER INC. HN7306WI |
| Power Plan | Standard |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
100% |
8566
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8207
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8437
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
8459
9.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
31568
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3419
271.2 IPS |
|
|
Object Detection (HP)
|
100% |
3404
270.0 IPS |
|
|
Object Detection (Q)
|
88% |
9558
766.2 IPS |
|
|
Face Detection (SP)
|
100% |
8845
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
8917
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
24236
288.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9824
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9624
74.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24496
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23022
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81605
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4536
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14872
550.8 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2821
3.76 KIPS |
|
|
Text Classification (Q)
|
92% |
3530
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4186
72.1 IPS |
