ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV
Geekbench AI Score
15627
Single Precision Score
26360
Half Precision Score
12599
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jhenn10 |
| Upload Date | January 10 2025 02:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV |
| Motherboard | ASUSTeK COMPUTER INC. GA402XV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6402
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
11158
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
6080
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9781
158.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12771
207.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8989
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
84045
98.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
225304
262.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74771
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
8005
635.0 IPS |
|
|
Object Detection (HP)
|
100% |
14610
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
7171
578.4 IPS |
|
|
Face Detection (SP)
|
100% |
18268
217.1 IPS |
|
|
Face Detection (HP)
|
100% |
27263
323.9 IPS |
|
|
Face Detection (Q)
|
97% |
16458
196.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35983
277.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75966
585.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
30275
242.2 IPS |
|
|
Style Transfer (SP)
|
100% |
133951
172.2 IPS |
|
|
Style Transfer (HP)
|
100% |
338746
435.5 IPS |
|
|
Style Transfer (Q)
|
98% |
120774
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26824
990.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43784
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20040
742.1 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
3364
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1614
30.3 IPS |
