ASUSTeK COMPUTER INC. PRIME B450M-A II
Geekbench AI Score
1422
Single Precision Score
2311
Half Precision Score
1547
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 12:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | ASUSTeK COMPUTER INC. PRIME B450M-A II |
| Model ID | ASUSTeK COMPUTER INC. PRIME B450M-A II |
| Motherboard | |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 16 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 16 Cores @ 4.15 GHz |
| Memory Information | |
|---|---|
| Size | 31.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.8 IPS |
|
|
Image Classification (Q)
|
96% |
1178
220.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8685
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16791
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15012
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
88% |
1211
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
3060
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2984
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5334
41.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4290
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9227
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26031
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24646
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3169
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
134
179.3 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.3 IPS |
|
|
Text Classification (Q)
|
91% |
54
72.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
57% |
63
1.55 IPS |
