iPad mini (6th generation)
Geekbench AI Score
3067
Single Precision Score
5308
Half Precision Score
4279
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | November 11 2024 01:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (Q)
|
96% |
1538
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2273
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5514
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
12162
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10421
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2537
202.0 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5306
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2909
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5143
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10503
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7077
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16225
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25173
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20748
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4448
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3308
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4109
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5350
92.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5404
93.4 IPS |
