ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX706HCB_FX706HCB
Geekbench AI Score
2467
Single Precision Score
1186
Half Precision Score
5033
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 06:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| 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% |
1702
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
5032
938.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2476
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
14524
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
4691
377.0 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
1215
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7375
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5068
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1700
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11224
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9598
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7711
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
16631
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3188
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
722
964.1 IPS |
|
|
Text Classification (Q)
|
97% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2062
41.4 IPS |
