iPad mini (6th generation)
Geekbench AI Score
3130
Single Precision Score
5418
Half Precision Score
4374
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (Q)
|
96% |
1545
288.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2338
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5903
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
13138
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10923
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2614
208.1 IPS |
|
|
Object Detection (Q)
|
94% |
1847
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3016
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5181
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10619
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7271
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16816
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25571
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21176
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3344
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5455
94.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5492
94.9 IPS |
