ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA502IV_GA502IV
Geekbench AI Score
802
Single Precision Score
830
Half Precision Score
776
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | SnipeX_ |
| Upload Date | November 15 2024 01:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 4900HS |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA502IV_GA502IV |
| Motherboard | ASUSTeK COMPUTER INC. GA502IV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 4900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 38.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
610
113.5 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
468
87.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
645
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1168
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1480
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
85% |
495
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
1283
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1009
7.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
1085
8.36 IPS |
|
|
Depth Estimation (Q)
|
63% |
1022
9.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1253
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1116
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2319
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
890
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
740
988.2 IPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
420
563.9 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
58% |
317
7.43 IPS |
