Xiaomi Redmi K70 Xiaomi 23113RKC6C
Geekbench AI Score
1526
Single Precision Score
2254
Half Precision Score
1823
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 22 2026 05:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
935
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
1168
217.3 IPS |
|
|
Image Classification (Q)
|
99% |
1073
200.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2613
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7483
8.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
13577
15.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
13228
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
99% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
82% |
977
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (Q)
|
97% |
4105
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3794
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5549
42.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
4449
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9755
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20519
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19744
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2913
107.9 IPS |
|
|
Text Classification (SP)
|
35% |
36
350.2 IPS |
|
|
Text Classification (HP)
|
35% |
53
478.2 IPS |
|
|
Text Classification (Q)
|
35% |
48
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
97% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
49% |
222
8.35 IPS |
