ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
2702
Single Precision Score
777
Half Precision Score
4082
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | August 30 2024 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV |
| Motherboard | ASUSTeK COMPUTER INC. FA507XV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1466
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
4533
845.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2317
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4803
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4027
4.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
21223
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
1752
138.9 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
88% |
1814
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
4953
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
987
7.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
9660
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11720
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10388
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25466
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3299
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
709
946.8 IPS |
|
|
Text Classification (Q)
|
97% |
416
556.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1904
42.5 IPS |
