iPad mini (6th generation)
Geekbench AI Score
3080
Single Precision Score
5350
Half Precision Score
4315
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | danyan |
| Upload Date | September 26 2024 06:34 PM |
| Views | 4 |
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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (Q)
|
96% |
1546
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2307
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5621
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
12790
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10781
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2576
205.1 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
2947
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5182
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10516
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7164
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16347
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25334
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20937
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5367
92.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5369
92.8 IPS |
