ASUSTeK COMPUTER INC. ROG Strix G512LI_G512LI
Geekbench AI Score
1545
Single Precision Score
1616
Half Precision Score
2491
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | RobertRgs |
| Upload Date | September 03 2025 05:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10300H CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G512LI_G512LI |
| Motherboard | ASUSTeK COMPUTER INC. G512LI |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
936
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
954
177.4 IPS |
|
|
Image Classification (Q)
|
100% |
1522
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1800
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
4279
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (HP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (Q)
|
87% |
1889
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
4192
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2446
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2444
18.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4298
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5784
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
5884
7.56 IPS |
|
|
Style Transfer (Q)
|
98% |
11004
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2171
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (Q)
|
91% |
597
801.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1621
27.9 IPS |
