ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX516PM_FX516PM
Geekbench AI Score
11289
Single Precision Score
18885
Half Precision Score
8078
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:15 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX516PM_FX516PM |
| Motherboard | ASUSTeK COMPUTER INC. FX516PM |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4762
885.7 IPS |
|
|
Image Classification (HP)
|
99% |
7779
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
3600
671.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6860
111.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9117
147.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5816
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54133
63.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
156505
182.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
46810
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
5708
452.8 IPS |
|
|
Object Detection (HP)
|
100% |
10071
798.8 IPS |
|
|
Object Detection (Q)
|
85% |
4612
371.3 IPS |
|
|
Face Detection (SP)
|
100% |
13634
162.0 IPS |
|
|
Face Detection (HP)
|
100% |
20884
248.1 IPS |
|
|
Face Detection (Q)
|
97% |
11156
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29635
228.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53211
411.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
21277
170.3 IPS |
|
|
Style Transfer (SP)
|
100% |
101253
130.2 IPS |
|
|
Style Transfer (HP)
|
100% |
250483
322.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80485
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17297
638.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29619
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11368
421.0 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2883
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1094
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1102
20.7 IPS |
