ASUS PN54 ASUSTeK COMPUTER INC. ELM_PN54
Geekbench AI Score
3416
Single Precision Score
1903
Half Precision Score
8539
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 08 2026 03:03 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% |
2565
477.0 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (Q)
|
99% |
7963
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8574
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4533
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4126
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
20866
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (Q)
|
86% |
7236
581.5 IPS |
|
|
Face Detection (SP)
|
100% |
5822
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
10636
126.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6475
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16927
135.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11266
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11152
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29410
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2104
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3549
71.3 IPS |
