ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JPR_FX608JPR
Geekbench AI Score
4373
Single Precision Score
4439
Half Precision Score
10482
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ramoo1001 |
| Upload Date | March 09 2026 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JPR_FX608JPR |
| Motherboard | ASUSTeK COMPUTER INC. FX608JPR |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
100% |
6889
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3742
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3769
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7298
118.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5644
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5705
6.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
20772
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2778
220.3 IPS |
|
|
Object Detection (HP)
|
100% |
2798
221.9 IPS |
|
|
Object Detection (Q)
|
88% |
7384
591.9 IPS |
|
|
Face Detection (SP)
|
100% |
5734
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
5664
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
16392
194.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7404
57.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18302
142.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11831
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12142
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41476
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10345
383.1 IPS |
|
|
Text Classification (SP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4020
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4087
70.4 IPS |
