iPad mini (6th generation) - AI - CPU iPad mini (6th generation)
Geekbench AI Score
3183
Single Precision Score
5443
Half Precision Score
4417
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | January 21 2025 01:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.0 IPS |
|
|
Image Classification (Q)
|
96% |
1542
287.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2353
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6267
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
13572
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11694
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2624
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
1845
147.1 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3088
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5290
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10776
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17010
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25523
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21298
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4119
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5440
94.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5454
94.2 IPS |
