ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench AI Score
3941
Single Precision Score
4212
Half Precision Score
9711
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 07:09 AM |
| Views | 4 |
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% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (Q)
|
100% |
5896
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3106
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6262
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4667
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4835
5.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
17471
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (Q)
|
88% |
6197
496.8 IPS |
|
|
Face Detection (SP)
|
100% |
4495
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7100
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
14480
172.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6317
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6404
49.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15651
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14270
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14459
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49703
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2971
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2995
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10164
376.4 IPS |
|
|
Text Classification (SP)
|
100% |
2547
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
4194
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3886
66.9 IPS |
