ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZE_FX507ZE
Geekbench AI Score
9592
Single Precision Score
17704
Half Precision Score
6306
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Fayiz |
| Upload Date | October 05 2024 09:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZE_FX507ZE |
| Motherboard | ASUSTeK COMPUTER INC. FX507ZE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3574
664.6 IPS |
|
|
Image Classification (HP)
|
99% |
6845
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
3005
558.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6050
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10036
162.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5050
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
44728
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
144597
168.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
37273
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
4440
352.2 IPS |
|
|
Object Detection (HP)
|
100% |
8556
678.7 IPS |
|
|
Object Detection (Q)
|
89% |
2978
238.4 IPS |
|
|
Face Detection (SP)
|
100% |
9640
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
15955
189.6 IPS |
|
|
Face Detection (Q)
|
97% |
6896
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21152
163.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46799
361.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
14965
120.6 IPS |
|
|
Style Transfer (SP)
|
100% |
75974
97.7 IPS |
|
|
Style Transfer (HP)
|
100% |
190310
244.6 IPS |
|
|
Style Transfer (Q)
|
98% |
62607
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14776
545.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25665
947.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8817
326.5 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3345
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1010
22.5 IPS |
