ASUSTeK COMPUTER INC. PRIME B450M-A II
Geekbench AI Score
1427
Single Precision Score
2327
Half Precision Score
1574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 08:50 AM |
| Views | 1 |
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 | |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 16 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 31.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
919
170.8 IPS |
|
|
Image Classification (HP)
|
100% |
1419
263.9 IPS |
|
|
Image Classification (Q)
|
96% |
1211
226.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8744
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17135
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15483
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (Q)
|
88% |
1211
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
3074
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3023
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5532
42.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
4410
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9310
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26784
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25480
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2360
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3281
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.5 IPS |
|
|
Text Classification (HP)
|
100% |
128
170.7 IPS |
|
|
Text Classification (Q)
|
91% |
53
71.1 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
57% |
60
1.47 IPS |
