iPad mini (6th generation)
Geekbench AI Score
3154
Single Precision Score
5413
Half Precision Score
4407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 10:35 AM |
| Views | 1 |
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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2349
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6142
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
13449
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11464
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2618
208.4 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3065
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10745
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7325
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16829
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25648
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21320
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5458
94.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5505
95.1 IPS |
