Xiaomi Redmi K70 Xiaomi 23113RKC6C
Geekbench AI Score
1334
Single Precision Score
1582
Half Precision Score
2117
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 22 2026 05:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 23113RKC6C |
| Model ID | Xiaomi 23113RKC6C |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (Q)
|
99% |
1551
289.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1587
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (HP)
|
92% |
5364
6.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
4654
5.45 IPS |
|
|
Object Detection (SP)
|
98% |
977
77.7 IPS |
|
|
Object Detection (HP)
|
97% |
731
58.2 IPS |
|
|
Object Detection (Q)
|
85% |
1319
106.2 IPS |
|
|
Face Detection (SP)
|
100% |
2046
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
3320
39.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1988
15.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3016
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3319
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4548
5.90 IPS |
|
|
Style Transfer (HP)
|
88% |
4582
5.95 IPS |
|
|
Style Transfer (Q)
|
98% |
8245
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1412
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2318
85.9 IPS |
|
|
Text Classification (SP)
|
100% |
451
602.0 IPS |
|
|
Text Classification (HP)
|
100% |
587
783.8 IPS |
|
|
Text Classification (Q)
|
93% |
813
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1024
17.7 IPS |
|
|
Machine Translation (Q)
|
55% |
699
18.8 IPS |
