iPad mini (6th generation)
Geekbench AI Score
3128
Single Precision Score
5506
Half Precision Score
4451
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1277
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2292
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6084
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
13882
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11199
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2603
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1840
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3015
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5143
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10088
78.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7007
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16868
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26653
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21891
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4566
168.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3487
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4255
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6036
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6065
104.8 IPS |
