ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
20904
Single Precision Score
35272
Half Precision Score
15863
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9117
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
14791
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8205
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15595
252.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21640
350.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13332
216.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
109875
128.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
309540
361.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
96488
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
10466
830.1 IPS |
|
|
Object Detection (HP)
|
100% |
18363
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
8940
719.7 IPS |
|
|
Face Detection (SP)
|
100% |
22028
261.7 IPS |
|
|
Face Detection (HP)
|
100% |
37275
442.9 IPS |
|
|
Face Detection (Q)
|
97% |
21489
256.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41674
321.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87035
670.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
34225
273.5 IPS |
|
|
Style Transfer (SP)
|
100% |
180086
231.5 IPS |
|
|
Style Transfer (HP)
|
100% |
441268
567.3 IPS |
|
|
Style Transfer (Q)
|
98% |
158796
204.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37541
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55703
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27775
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2074
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4915
84.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1590
29.8 IPS |
