iPad mini (6th generation)
Geekbench AI Score
3145
Single Precision Score
5426
Half Precision Score
4377
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:00 AM |
| Views | 1 |
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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (Q)
|
96% |
1551
289.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2343
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
13084
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10952
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2610
207.8 IPS |
|
|
Object Detection (Q)
|
94% |
1833
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5442
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5230
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10648
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7272
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16563
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25844
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21326
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4474
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3386
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5472
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5466
94.5 IPS |
