ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5481
Single Precision Score
1667
Half Precision Score
8034
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 16 2025 12:37 AM |
| Views | 11 |
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% |
4465
830.4 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.2 IPS |
|
|
Image Classification (Q)
|
99% |
7145
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11464
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4987
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
34510
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
4201
333.2 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
7598
610.6 IPS |
|
|
Face Detection (SP)
|
100% |
10443
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11126
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12936
99.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2230
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16501
131.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24633
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12163
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25878
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5383
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1772
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3599
72.3 IPS |
