iPad mini (6th generation)
Geekbench AI Score
3143
Single Precision Score
5459
Half Precision Score
4406
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
2242
417.0 IPS |
|
|
Image Classification (Q)
|
96% |
1548
289.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2334
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6064
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
13192
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11509
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2619
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1849
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3031
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5255
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10753
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7285
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16880
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25779
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21364
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3777
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3376
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5511
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5509
95.2 IPS |
