iPad mini (6th generation)
Geekbench AI Score
2685
Single Precision Score
2902
Half Precision Score
2657
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:16 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
97% |
514
95.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2324
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10835
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11708
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10927
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.1 IPS |
|
|
Object Detection (Q)
|
91% |
734
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
3929
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
4125
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
3568
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7052
54.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7127
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18123
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21845
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20497
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3007
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2589
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4075
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
98% |
333
5.75 IPS |
