ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX517ZC_FX517ZC
Geekbench AI Score
2966
Single Precision Score
2972
Half Precision Score
7074
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX517ZC_FX517ZC |
| Motherboard | ASUSTeK COMPUTER INC. FX517ZC |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (HP)
|
100% |
1747
324.9 IPS |
|
|
Image Classification (Q)
|
100% |
4514
839.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4393
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3255
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
12610
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (Q)
|
88% |
4479
359.1 IPS |
|
|
Face Detection (SP)
|
100% |
4394
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
9986
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4632
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4609
35.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11584
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10109
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10181
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33770
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7192
266.3 IPS |
|
|
Text Classification (SP)
|
100% |
2024
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2034
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
3547
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2572
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2815
48.5 IPS |
