iPad mini (6th generation)
Geekbench AI Score
1823
Single Precision Score
10595
Half Precision Score
11287
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 13 2024 04:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
875
162.6 IPS |
|
|
Image Classification (HP)
|
100% |
4582
852.2 IPS |
|
|
Image Classification (Q)
|
99% |
5436
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5305
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
65993
77.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
67906
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
99% |
6135
488.0 IPS |
|
|
Object Detection (Q)
|
93% |
6969
556.0 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
9948
118.2 IPS |
|
|
Face Detection (Q)
|
100% |
11570
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3091
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35867
276.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
35320
273.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9233
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
106348
136.7 IPS |
|
|
Style Transfer (Q)
|
100% |
111831
143.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13982
516.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15809
585.7 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2001
34.6 IPS |
