ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5432
Single Precision Score
1614
Half Precision Score
7907
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 29 2025 11:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4458
829.0 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.5 IPS |
|
|
Image Classification (Q)
|
99% |
6829
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3613
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11424
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
32472
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4051
321.3 IPS |
|
|
Object Detection (HP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
7411
595.6 IPS |
|
|
Face Detection (SP)
|
100% |
11310
134.4 IPS |
|
|
Face Detection (HP)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
10288
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12571
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2079
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17775
141.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24813
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11704
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27628
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2222
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5346
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.3 IPS |
|
|
Text Classification (Q)
|
97% |
1699
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3510
70.5 IPS |
