ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
7450
Single Precision Score
10554
Half Precision Score
5462
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | April 23 2025 04:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2590
481.6 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (Q)
|
100% |
2371
440.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4077
66.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2536
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
38198
44.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
70538
82.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26874
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
87% |
2274
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
5252
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
9522
113.1 IPS |
|
|
Face Detection (Q)
|
97% |
4292
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16927
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26275
202.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13175
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
73720
94.8 IPS |
|
|
Style Transfer (HP)
|
100% |
106666
137.1 IPS |
|
|
Style Transfer (Q)
|
98% |
46056
59.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14451
533.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20276
748.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9075
336.0 IPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3260
56.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1566
29.4 IPS |
