ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench AI Score
1336
Single Precision Score
2066
Half Precision Score
3263
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 08:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM |
| Motherboard | ASUSTeK COMPUTER INC. FX608JM |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1288
239.5 IPS |
|
|
Image Classification (Q)
|
99% |
2171
404.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2209
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
1445
1.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
5939
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
99% |
1193
94.9 IPS |
|
|
Object Detection (Q)
|
90% |
2298
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
5400
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2423
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4248
32.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5798
45.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5539
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8354
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13902
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
117.2 IPS |
|
|
Text Classification (SP)
|
71% |
766
1.11 KIPS |
|
|
Text Classification (HP)
|
71% |
997
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
998
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
98% |
1468
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1522
26.3 IPS |
