ASUSTeK COMPUTER INC. ROG Strix G732LV_G732LV
Geekbench AI Score
3259
Single Precision Score
3323
Half Precision Score
4807
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10875H CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G732LV_G732LV |
| Motherboard | ASUSTeK COMPUTER INC. G732LV |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.1 IPS |
|
|
Image Classification (Q)
|
100% |
2667
496.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3474
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
6809
7.99 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (Q)
|
87% |
2898
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
7441
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4495
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5768
44.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10146
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14099
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14324
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30270
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3099
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6151
227.9 IPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (Q)
|
91% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3255
56.1 IPS |
