ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
4762
Single Precision Score
1501
Half Precision Score
7325
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 04 2025 04:17 PM |
| Views | 10 |
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% |
3754
698.2 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
99% |
6306
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3369
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9600
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4303
5.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
28510
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
6471
520.0 IPS |
|
|
Face Detection (SP)
|
100% |
9830
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
10119
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10620
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2014
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16164
129.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20858
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10668
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28093
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3347
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.9 IPS |
|
|
Text Classification (Q)
|
97% |
1555
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3158
63.5 IPS |
