ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
2478
Single Precision Score
3509
Half Precision Score
5294
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 16 2025 12:13 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
2804
521.4 IPS |
|
|
Image Classification (Q)
|
99% |
3700
690.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4606
74.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
3288
3.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
13341
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
98% |
2413
192.0 IPS |
|
|
Object Detection (Q)
|
90% |
4130
330.2 IPS |
|
|
Face Detection (SP)
|
100% |
5313
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
8069
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
10922
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8769
67.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11792
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11656
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20253
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30732
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3429
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6909
255.9 IPS |
|
|
Text Classification (SP)
|
71% |
597
863.5 IPS |
|
|
Text Classification (HP)
|
71% |
713
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.5 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
98% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
100% |
912
15.7 IPS |
