ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench AI Score
1322
Single Precision Score
2075
Half Precision Score
3231
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 08:06 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% |
777
144.5 IPS |
|
|
Image Classification (HP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (Q)
|
99% |
2169
404.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
1447
1.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
5937
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
99% |
1193
94.9 IPS |
|
|
Object Detection (Q)
|
90% |
2239
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
5330
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2416
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4237
32.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5813
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5540
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8413
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13944
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
941
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3185
117.9 IPS |
|
|
Text Classification (SP)
|
71% |
716
1.04 KIPS |
|
|
Text Classification (HP)
|
71% |
985
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
98% |
1534
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1503
26.0 IPS |
