ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RJ_GA402RJ
Geekbench AI Score
539
Single Precision Score
658
Half Precision Score
322
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 09 2024 03:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RJ_GA402RJ |
| Motherboard | ASUSTeK COMPUTER INC. GA402RJ |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.94 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
99% |
68
12.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
168
2.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
905
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
1019
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
85% |
108
8.73 IPS |
|
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
562
6.67 IPS |
|
|
Face Detection (Q)
|
97% |
515
6.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
63% |
352
3.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1143
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1921
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
374
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
267
359.2 IPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
58% |
278
6.53 IPS |
