ASUSTeK COMPUTER INC. ROG Strix G512LI_G512LI
Geekbench AI Score
6107
Single Precision Score
4793
Half Precision Score
4500
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | RobertRgs |
| Upload Date | September 03 2025 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
| 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% |
2641
491.2 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
99% |
2079
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3266
52.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3448
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22053
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13902
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19469
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
3020
239.6 IPS |
|
|
Object Detection (HP)
|
100% |
2763
219.2 IPS |
|
|
Object Detection (Q)
|
83% |
2547
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
97% |
5506
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14491
111.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10544
81.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11570
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
40855
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27797
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34962
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8441
311.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5435
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1991
34.4 IPS |
|
|
Machine Translation (Q)
|
70% |
950
17.8 IPS |
