ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XI_FA507XI
Geekbench AI Score
5701
Single Precision Score
5731
Half Precision Score
16418
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | November 30 2024 11:02 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3861
718.0 IPS |
|
|
Image Classification (HP)
|
100% |
4079
758.6 IPS |
|
|
Image Classification (Q)
|
100% |
10463
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9056
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7959
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
7955
9.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
32439
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3422
271.4 IPS |
|
|
Object Detection (HP)
|
100% |
3330
264.2 IPS |
|
|
Object Detection (Q)
|
88% |
10916
875.0 IPS |
|
|
Face Detection (SP)
|
100% |
7780
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
7786
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
26682
317.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9396
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9703
74.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28113
218.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21749
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22282
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85388
110.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16457
609.5 IPS |
|
|
Text Classification (SP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5771
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5164
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6973
120.1 IPS |
