iPad mini (6th generation)
Geekbench AI Score
3165
Single Precision Score
5544
Half Precision Score
4485
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 05:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
2261
420.4 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2298
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6221
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14028
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11779
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2615
208.2 IPS |
|
|
Object Detection (Q)
|
94% |
1857
148.0 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3013
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5156
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10122
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7066
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16898
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26917
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21939
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4608
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4222
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6047
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6097
105.4 IPS |
