ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608LM_FX608LM
Geekbench AI Score
5290
Single Precision Score
1935
Half Precision Score
7991
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 06:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608LM_FX608LM |
| Motherboard | ASUSTeK COMPUTER INC. FX608LM |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4478
832.8 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.8 IPS |
|
|
Image Classification (Q)
|
99% |
7814
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12745
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12214
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
30692
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3882
308.0 IPS |
|
|
Object Detection (HP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
8505
683.5 IPS |
|
|
Face Detection (SP)
|
100% |
11829
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
9510
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12314
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2625
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12730
101.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22901
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14262
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23291
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3536
130.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2932
58.9 IPS |
