iPad mini (6th generation)
Geekbench AI Score
3157
Single Precision Score
5493
Half Precision Score
4404
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 11:02 PM |
| 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 | iPad14,2 |
| 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 | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.6 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2342
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
13553
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11508
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2623
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
1851
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3091
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10736
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7328
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17016
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25843
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21327
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3352
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4211
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5536
95.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5531
95.6 IPS |
