iPad mini (6th generation)
Geekbench AI Score
2374
Single Precision Score
4162
Half Precision Score
3125
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 02:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1555
290.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2309
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13944
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11763
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2611
207.9 IPS |
|
|
Object Detection (Q)
|
94% |
1860
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3022
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5118
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10080
77.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
3288
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7952
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12637
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10362
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1666
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2052
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3211
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3215
55.6 IPS |
