ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZI4_FX507ZI4
Geekbench AI Score
133
Single Precision Score
101
Half Precision Score
86
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 01 2025 05:11 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZI4_FX507ZI4 |
| Motherboard | ASUSTeK COMPUTER INC. FX507ZI4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
949
176.6 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.73 IPS |
|
|
Image Classification (Q)
|
99% |
39
7.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
125
2.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
797
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
972
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
886
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.15 IPS |
|
|
Object Detection (HP)
|
100% |
67
5.32 IPS |
|
|
Object Detection (Q)
|
85% |
61
4.95 IPS |
|
|
Face Detection (SP)
|
100% |
194
2.30 IPS |
|
|
Face Detection (HP)
|
100% |
213
2.53 IPS |
|
|
Face Detection (Q)
|
97% |
163
1.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
221
1.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
188
1.45 IPS |
|
|
Depth Estimation (Q)
|
63% |
158
1.48 IPS |
|
|
Style Transfer (SP)
|
100% |
769
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
821
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
837
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70
2.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
72
2.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
65
2.42 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.08 IPS |
|
|
Text Classification (HP)
|
100% |
5
6.03 IPS |
|
|
Text Classification (Q)
|
92% |
4
5.64 IPS |
|
|
Machine Translation (SP)
|
100% |
16
0.28 IPS |
|
|
Machine Translation (HP)
|
100% |
15
0.26 IPS |
|
|
Machine Translation (Q)
|
58% |
16
0.38 IPS |
