ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench AI Score
4419
Single Precision Score
4440
Half Precision Score
10421
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 03:54 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 |
| 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% |
2711
504.1 IPS |
|
|
Image Classification (HP)
|
100% |
2737
509.0 IPS |
|
|
Image Classification (Q)
|
100% |
6318
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3621
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3624
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6745
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5619
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5618
6.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
20680
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
88% |
7123
571.0 IPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
13948
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6615
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7103
54.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17760
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16601
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16613
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
57268
73.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3496
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11069
409.9 IPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3987
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3844
66.2 IPS |
