ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UU_GA403UU
Geekbench AI Score
4873
Single Precision Score
4873
Half Precision Score
13976
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | saisusaku |
| Upload Date | January 14 2025 01:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ 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% |
3184
592.0 IPS |
|
|
Image Classification (HP)
|
100% |
2706
503.3 IPS |
|
|
Image Classification (Q)
|
100% |
9660
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8595
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
25258
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (Q)
|
88% |
9481
760.0 IPS |
|
|
Face Detection (SP)
|
100% |
6165
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
6166
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
23805
282.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8266
63.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
23903
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16869
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17107
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
71368
92.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14721
545.2 IPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
92% |
5625
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4253
73.3 IPS |
