iPad mini (6th generation)
Geekbench AI Score
3071
Single Precision Score
18714
Half Precision Score
21281
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
8005
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10327
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11730
190.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14185
230.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5404
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
77034
89.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80038
93.8 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
11057
879.6 IPS |
|
|
Object Detection (Q)
|
91% |
11344
906.4 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
21055
250.2 IPS |
|
|
Face Detection (Q)
|
100% |
30761
365.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5116
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53239
410.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
71719
560.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16176
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152211
195.7 IPS |
|
|
Style Transfer (Q)
|
96% |
137114
176.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26217
968.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27606
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2498
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6118
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6869
118.7 IPS |
