Xiaomi 23076RA4BC
Geekbench AI Score
91
Single Precision Score
134
Half Precision Score
138
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 04:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23076RA4BC |
| Model ID | Xiaomi 23076RA4BC |
| Motherboard | sky |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
44
8.21 IPS |
|
|
Image Classification (HP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (Q)
|
97% |
61
11.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
38
0.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
135
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
89
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
105
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.90 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.93 IPS |
|
|
Object Detection (Q)
|
89% |
48
3.87 IPS |
|
|
Face Detection (SP)
|
100% |
101
1.21 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (Q)
|
97% |
250
2.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
110
0.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
153
1.44 IPS |
|
|
Style Transfer (SP)
|
100% |
221
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
361
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
360
0.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59
2.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
74
2.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72
2.68 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.7 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.4 IPS |
|
|
Text Classification (Q)
|
91% |
266
358.1 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
57% |
241
5.88 IPS |
