ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JMR_FX608JMR
Geekbench AI Score
4061
Single Precision Score
1494
Half Precision Score
7013
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 03:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JMR_FX608JMR |
| Motherboard | ASUSTeK COMPUTER INC. FX608JMR |
| Power Plan | Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3221
599.0 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
99% |
5826
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8445
137.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6841
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4319
5.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
23476
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3113
247.0 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
86% |
6145
493.9 IPS |
|
|
Face Detection (SP)
|
100% |
9283
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
9727
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9026
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2065
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14866
118.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17090
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10206
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20905
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2450
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4212
156.0 IPS |
|
|
Text Classification (SP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.2 IPS |
|
|
Text Classification (Q)
|
97% |
1220
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2611
52.5 IPS |
