ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX706HCB_FX706HCB
Geekbench AI Score
9015
Single Precision Score
16482
Half Precision Score
6490
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX706HCB_FX706HCB |
| Motherboard | ASUSTeK COMPUTER INC. FX706HCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4067
756.3 IPS |
|
|
Image Classification (HP)
|
99% |
7723
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
3332
621.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5526
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8928
144.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4718
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36872
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
110181
128.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31600
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
4597
364.6 IPS |
|
|
Object Detection (HP)
|
100% |
9036
716.7 IPS |
|
|
Object Detection (Q)
|
84% |
3811
307.3 IPS |
|
|
Face Detection (SP)
|
100% |
9843
117.0 IPS |
|
|
Face Detection (HP)
|
100% |
16875
200.5 IPS |
|
|
Face Detection (Q)
|
97% |
8206
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19946
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45137
347.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15186
121.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64759
83.2 IPS |
|
|
Style Transfer (HP)
|
100% |
174099
223.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53483
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12961
478.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22421
827.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8248
305.4 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2787
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1146
21.5 IPS |
