ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LI_FX506LI
Geekbench AI Score
1614
Single Precision Score
777
Half Precision Score
1869
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10870H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LI_FX506LI |
| Motherboard | ASUSTeK COMPUTER INC. FX506LI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1046
194.5 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.8 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2185
2.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
5688
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
998
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (Q)
|
96% |
2392
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3197
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.58 IPS |
|
|
Depth Estimation (Q)
|
77% |
3299
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7025
9.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5439
6.99 IPS |
|
|
Style Transfer (Q)
|
87% |
9027
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1824
67.6 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
415
553.6 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1091
24.3 IPS |
