ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JMR_FX608JMR
Geekbench AI Score
3294
Single Precision Score
1418
Half Precision Score
4480
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JMR_FX608JMR |
| Motherboard | ASUSTeK COMPUTER INC. FX608JMR |
| Power Plan | Turbo |
| 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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
3605
672.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3217
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7037
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4173
4.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
20989
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
88% |
2041
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
3588
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7230
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1980
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8072
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16894
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10417
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17175
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2886
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4277
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.5 IPS |
|
|
Text Classification (Q)
|
97% |
1463
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2107
47.0 IPS |
