ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607JV_FX607JV
Geekbench AI Score
2041
Single Precision Score
776
Half Precision Score
3363
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 12:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607JV_FX607JV |
| Motherboard | ASUSTeK COMPUTER INC. FX607JV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.4 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
99% |
2938
548.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3545
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2439
2.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
11149
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
86% |
3142
252.6 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
4660
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4553
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1091
8.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
7647
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8696
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5728
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
11469
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2016
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
370
493.3 IPS |
|
|
Text Classification (Q)
|
97% |
794
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
65% |
1587
31.9 IPS |
