ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
6055
Single Precision Score
5988
Half Precision Score
14095
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | February 23 2025 10:06 PM |
| Views | 10 |
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% |
3658
680.2 IPS |
|
|
Image Classification (HP)
|
100% |
3607
670.8 IPS |
|
|
Image Classification (Q)
|
100% |
8945
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4940
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9753
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11170
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11131
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31361
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.4 IPS |
|
|
Object Detection (Q)
|
88% |
9291
744.8 IPS |
|
|
Face Detection (SP)
|
100% |
10326
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
10203
121.2 IPS |
|
|
Face Detection (Q)
|
100% |
23825
283.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9902
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9952
76.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26858
208.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30178
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31072
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88532
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16622
615.6 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2646
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5739
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2582
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2253
38.8 IPS |
