iPad mini (6th generation)
Geekbench AI Score
3125
Single Precision Score
5353
Half Precision Score
4388
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:40 PM |
| 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% |
1247
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
2167
403.1 IPS |
|
|
Image Classification (Q)
|
96% |
1511
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2336
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13466
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11549
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
2556
203.5 IPS |
|
|
Object Detection (Q)
|
94% |
1819
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3039
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5252
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10623
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7265
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16816
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25671
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21481
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4453
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3381
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5443
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5524
95.5 IPS |
