ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
6042
Single Precision Score
5959
Half Precision Score
14035
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | February 28 2025 02:34 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3568
663.6 IPS |
|
|
Image Classification (HP)
|
100% |
3564
662.8 IPS |
|
|
Image Classification (Q)
|
100% |
8936
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4846
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9611
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10803
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10717
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
29042
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (Q)
|
88% |
9374
751.4 IPS |
|
|
Face Detection (SP)
|
100% |
10341
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
10098
120.0 IPS |
|
|
Face Detection (Q)
|
100% |
22827
271.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10347
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9758
75.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26739
207.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28311
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28879
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
76210
98.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16565
613.5 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (Q)
|
92% |
5700
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2834
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2890
49.8 IPS |
