ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XI_FA507XI
Geekbench AI Score
5599
Single Precision Score
5542
Half Precision Score
16089
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | October 05 2024 05:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XI_FA507XI |
| Motherboard | ASUSTeK COMPUTER INC. FA507XI |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4019
747.3 IPS |
|
|
Image Classification (HP)
|
100% |
3903
725.8 IPS |
|
|
Image Classification (Q)
|
100% |
10300
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8710
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8170
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
32642
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (HP)
|
100% |
3318
263.2 IPS |
|
|
Object Detection (Q)
|
88% |
10884
872.5 IPS |
|
|
Face Detection (SP)
|
100% |
6557
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
6462
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
25784
306.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9881
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9855
75.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
27750
215.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21568
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20804
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83094
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4662
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16162
598.5 IPS |
|
|
Text Classification (SP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5733
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6620
114.0 IPS |
