ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
2837
Single Precision Score
1328
Half Precision Score
6063
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | April 23 2025 04:36 PM |
| Views | 8 |
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% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
99% |
7086
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3166
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3730
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
21649
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
6409
515.1 IPS |
|
|
Face Detection (SP)
|
100% |
5000
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
9531
113.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6992
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10802
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9559
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23472
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2953
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.0 IPS |
|
|
Text Classification (Q)
|
97% |
1683
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2777
55.8 IPS |
