ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench AI Score
3912
Single Precision Score
4168
Half Precision Score
9778
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 05:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13450HX |
| 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% |
2230
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
2467
458.8 IPS |
|
|
Image Classification (Q)
|
100% |
5694
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6270
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4757
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4817
5.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
17697
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (Q)
|
88% |
6531
523.5 IPS |
|
|
Face Detection (SP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
14494
172.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6135
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6508
50.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
16027
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14276
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14398
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50210
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2797
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3040
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10451
387.0 IPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4201
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3784
65.2 IPS |
