ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX517ZC_FX517ZC
Geekbench AI Score
2421
Single Precision Score
3438
Half Precision Score
5251
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
99% |
3065
571.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4798
77.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4752
5.55 IPS |
|
|
Pose Estimation (HP)
|
99% |
3515
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
14466
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
2244
178.0 IPS |
|
|
Object Detection (Q)
|
90% |
3441
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
4709
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
10671
126.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5218
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8813
68.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11843
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12594
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17055
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33540
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3388
125.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6740
249.6 IPS |
|
|
Text Classification (SP)
|
71% |
534
771.9 IPS |
|
|
Text Classification (HP)
|
71% |
733
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
668
897.7 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1167
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1142
19.7 IPS |
