iPad mini (6th generation)
Geekbench AI Score
3160
Single Precision Score
5458
Half Precision Score
4415
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:39 PM |
| Views | 1 |
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 | iPad14,2 |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
2252
418.8 IPS |
|
|
Image Classification (Q)
|
96% |
1552
289.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2352
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6100
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
13352
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11415
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
2620
208.6 IPS |
|
|
Object Detection (Q)
|
94% |
1850
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5466
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3054
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5248
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10745
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7346
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16803
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25633
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21344
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3352
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5479
94.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5491
94.9 IPS |
