ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WR_GA403WR
Geekbench AI Score
23919
Single Precision Score
43757
Half Precision Score
18782
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kolored |
| Upload Date | September 15 2025 05:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WR_GA403WR |
| Motherboard | ASUSTeK COMPUTER INC. GA403WR |
| Power Plan | Balanced |
| 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% |
10195
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
17023
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9291
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17594
285.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25494
413.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15835
257.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
117854
137.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
422750
493.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
114440
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
12978
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
21142
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
11141
900.1 IPS |
|
|
Face Detection (SP)
|
100% |
33210
394.6 IPS |
|
|
Face Detection (HP)
|
100% |
52073
618.7 IPS |
|
|
Face Detection (Q)
|
97% |
28351
338.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59079
455.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
124479
959.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
47801
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
196203
252.2 IPS |
|
|
Style Transfer (HP)
|
100% |
664150
853.8 IPS |
|
|
Style Transfer (Q)
|
98% |
167417
215.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30535
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65663
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26596
984.8 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2196
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5472
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5524
95.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2198
41.2 IPS |
