ASUS ROG Strix G16 ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU
Geekbench AI Score
4397
Single Precision Score
4374
Half Precision Score
10055
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 21 2025 10:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU |
| Motherboard | ASUSTeK COMPUTER INC. G614JU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2835
527.2 IPS |
|
|
Image Classification (HP)
|
100% |
2835
527.2 IPS |
|
|
Image Classification (Q)
|
100% |
6180
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3074
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5953
96.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5482
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
5456
6.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
18878
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.1 IPS |
|
|
Object Detection (HP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (Q)
|
88% |
6719
538.6 IPS |
|
|
Face Detection (SP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
6120
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
15564
184.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7034
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7106
54.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17429
135.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16464
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16151
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55530
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3234
119.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10317
382.1 IPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4116
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3542
61.0 IPS |
