ASUS PN54 ASUSTeK COMPUTER INC. ELM_PN54
Geekbench AI Score
3437
Single Precision Score
1930
Half Precision Score
8639
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 08 2026 03:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ELM_PN54 |
| Motherboard | ASUSTeK COMPUTER INC. ELM_PN54 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2571
478.1 IPS |
|
|
Image Classification (HP)
|
100% |
815
151.6 IPS |
|
|
Image Classification (Q)
|
99% |
7887
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8837
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4563
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4157
4.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
20977
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
86% |
7286
585.6 IPS |
|
|
Face Detection (SP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10566
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6461
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2835
21.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16225
129.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11234
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11282
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29946
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2287
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1180
1.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2108
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2656
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3962
79.6 IPS |
