ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UU_GA403UU
Geekbench AI Score
7604
Single Precision Score
10647
Half Precision Score
5855
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | saisusaku |
| Upload Date | January 14 2025 12:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UU_GA403UU |
| Motherboard | ASUSTeK COMPUTER INC. GA403UU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2903
539.9 IPS |
|
|
Image Classification (HP)
|
100% |
4280
795.9 IPS |
|
|
Image Classification (Q)
|
100% |
2732
508.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3802
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4290
69.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3179
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36600
42.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
63508
74.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27041
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (HP)
|
100% |
3812
302.4 IPS |
|
|
Object Detection (Q)
|
87% |
2614
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
6095
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
10448
124.1 IPS |
|
|
Face Detection (Q)
|
97% |
5058
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17378
133.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25821
198.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13614
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
63188
81.2 IPS |
|
|
Style Transfer (HP)
|
100% |
104529
134.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45030
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13242
489.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18712
690.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8748
323.9 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1667
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1706
32.0 IPS |
