ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5437
Single Precision Score
1611
Half Precision Score
8269
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | February 23 2025 10:09 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% |
4441
825.9 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (Q)
|
99% |
6891
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4211
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11289
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4702
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
34714
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4144
328.7 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
7510
603.6 IPS |
|
|
Face Detection (SP)
|
100% |
11272
133.9 IPS |
|
|
Face Detection (HP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
11516
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12783
98.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2065
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17877
142.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24748
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11586
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27633
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5658
209.5 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3702
74.4 IPS |
