ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX706HM_FX706HM
Geekbench AI Score
2248
Single Precision Score
3409
Half Precision Score
5374
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX706HM_FX706HM |
| Motherboard | ASUSTeK COMPUTER INC. FX706HM |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.4 IPS |
|
|
Image Classification (Q)
|
99% |
3578
667.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3847
4.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
2827
3.30 IPS |
|
|
Pose Estimation (Q)
|
97% |
11570
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
98% |
2018
160.6 IPS |
|
|
Object Detection (Q)
|
90% |
3725
297.9 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
9097
108.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7446
57.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
9921
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9926
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15573
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26533
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6042
223.8 IPS |
|
|
Text Classification (SP)
|
71% |
978
1.41 KIPS |
|
|
Text Classification (HP)
|
71% |
1159
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1763
30.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1883
32.4 IPS |
