iPad mini (6th generation)
Geekbench AI Score
3148
Single Precision Score
5429
Half Precision Score
4389
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 06:15 PM |
| Views | 9 |
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 | iPad14,1 |
| 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (Q)
|
96% |
1551
289.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2345
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
13306
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11339
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
2609
207.7 IPS |
|
|
Object Detection (Q)
|
94% |
1841
146.8 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3004
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5176
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10638
82.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7287
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16707
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25715
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21239
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3387
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4057
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5484
94.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5477
94.6 IPS |
