iPad mini (6th generation)
Geekbench AI Score
3105
Single Precision Score
5382
Half Precision Score
4660
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Xevious |
| Upload Date | August 15 2024 07:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1298
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.5 IPS |
|
|
Image Classification (Q)
|
99% |
2233
416.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1880
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5698
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
12976
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10683
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2573
204.9 IPS |
|
|
Object Detection (Q)
|
94% |
1818
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
2983
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5157
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10536
81.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10518
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16655
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25642
33.0 IPS |
|
|
Style Transfer (Q)
|
100% |
25473
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4454
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3326
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5396
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5431
93.9 IPS |
