ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZE_FX507ZE
Geekbench AI Score
9575
Single Precision Score
17692
Half Precision Score
6337
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Fayiz |
| Upload Date | October 05 2024 09:20 AM |
| Views | 6 |
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% |
3770
701.2 IPS |
|
|
Image Classification (HP)
|
99% |
6888
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
2912
541.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6321
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10017
162.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5128
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45091
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
149396
174.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36776
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4379
347.4 IPS |
|
|
Object Detection (HP)
|
100% |
8674
688.0 IPS |
|
|
Object Detection (Q)
|
89% |
3104
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
8935
106.2 IPS |
|
|
Face Detection (HP)
|
100% |
15706
186.6 IPS |
|
|
Face Detection (Q)
|
97% |
6917
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21177
163.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44797
346.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
14979
120.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78508
100.9 IPS |
|
|
Style Transfer (HP)
|
100% |
191075
245.6 IPS |
|
|
Style Transfer (Q)
|
98% |
62025
80.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14491
535.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26946
995.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8661
320.7 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3273
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1089
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1011
22.5 IPS |
