ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WR_GA403WR
Geekbench AI Score
16601
Single Precision Score
32932
Half Precision Score
12227
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Loplop |
| Upload Date | September 12 2025 09:05 PM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WR_GA403WR |
| Motherboard | ASUSTeK COMPUTER INC. GA403WR |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6986
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
15360
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
6169
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13264
215.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20068
325.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10660
173.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
69077
80.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
225854
263.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
67300
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
9031
716.4 IPS |
|
|
Object Detection (HP)
|
100% |
18739
1.49 KIPS |
|
|
Object Detection (Q)
|
83% |
6794
548.9 IPS |
|
|
Face Detection (SP)
|
100% |
21024
249.8 IPS |
|
|
Face Detection (HP)
|
100% |
38898
462.2 IPS |
|
|
Face Detection (Q)
|
97% |
17826
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35843
276.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
81074
624.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
26462
211.2 IPS |
|
|
Style Transfer (SP)
|
100% |
119407
153.5 IPS |
|
|
Style Transfer (HP)
|
100% |
494296
635.4 IPS |
|
|
Style Transfer (Q)
|
98% |
100091
129.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26323
972.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51958
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19012
704.0 IPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1573
29.5 IPS |
