ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZC4_FX507ZC4
Geekbench AI Score
7482
Single Precision Score
14233
Half Precision Score
5164
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZC4_FX507ZC4 |
| Motherboard | ASUSTeK COMPUTER INC. FX507ZC4 |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3142
584.4 IPS |
|
|
Image Classification (HP)
|
99% |
6424
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
2407
448.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7774
126.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4023
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26544
31.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
82328
96.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23039
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3446
273.4 IPS |
|
|
Object Detection (HP)
|
100% |
8112
643.5 IPS |
|
|
Object Detection (Q)
|
84% |
2956
238.4 IPS |
|
|
Face Detection (SP)
|
100% |
8239
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
13855
164.6 IPS |
|
|
Face Detection (Q)
|
97% |
6457
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16597
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33984
261.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12160
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
48536
62.4 IPS |
|
|
Style Transfer (HP)
|
100% |
144667
186.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40303
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10224
377.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18069
667.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6716
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3241
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2565
44.2 IPS |
|
|
Machine Translation (Q)
|
70% |
972
18.2 IPS |
