Xiaomi 23073RPBFG
Geekbench AI Score
135
Single Precision Score
210
Half Precision Score
191
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23073RPBFG |
| Model ID | Xiaomi 23073RPBFG |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
152
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
209
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
789
0.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
781
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.40 IPS |
|
|
Object Detection (HP)
|
99% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
85% |
124
10.00 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
97% |
428
5.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
98% |
459
3.55 IPS |
|
|
Depth Estimation (Q)
|
63% |
376
3.47 IPS |
|
|
Style Transfer (SP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1070
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1052
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
161
5.98 IPS |
|
|
Text Classification (SP)
|
35% |
6
55.0 IPS |
|
|
Text Classification (HP)
|
35% |
9
79.6 IPS |
|
|
Text Classification (Q)
|
35% |
9
79.7 IPS |
|
|
Machine Translation (SP)
|
100% |
92
1.59 IPS |
|
|
Machine Translation (HP)
|
97% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
64% |
89
1.83 IPS |
