iPad mini (6th generation)
Geekbench AI Score
3071
Single Precision Score
5247
Half Precision Score
4253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2210
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5482
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
9730
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9381
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2575
205.0 IPS |
|
|
Object Detection (Q)
|
94% |
1839
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5390
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
2849
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4948
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10665
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7100
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16221
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25268
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20843
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4528
167.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3317
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5503
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5560
96.1 IPS |
