iPad mini (6th generation)
Geekbench AI Score
2835
Single Precision Score
4205
Half Precision Score
3476
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sevys |
| Upload Date | August 15 2024 10:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
1673
311.1 IPS |
|
|
Image Classification (Q)
|
99% |
1670
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
12409
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10511
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
97% |
1993
158.7 IPS |
|
|
Object Detection (Q)
|
94% |
1520
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
2418
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4715
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7637
59.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3538
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15355
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23968
30.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23958
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3269
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3317
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4043
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4133
71.4 IPS |
