iPad mini (6th generation)
Geekbench AI Score
2855
Single Precision Score
4263
Half Precision Score
3655
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:40 AM |
| Views | 1 |
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 | iPad14,2 |
| Motherboard | J311AP |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
1674
311.2 IPS |
|
|
Image Classification (Q)
|
96% |
1255
234.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1565
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5493
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
12802
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10860
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
2020
160.8 IPS |
|
|
Object Detection (Q)
|
94% |
1537
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3799
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
2437
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4675
36.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7680
59.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5709
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15581
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24107
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20111
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3346
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4395
162.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3332
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3401
4.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3405
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4139
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4099
70.8 IPS |
