iPad mini (6th generation)
Geekbench AI Score
3030
Single Precision Score
3342
Half Precision Score
3115
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 11:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.3 IPS |
|
|
Image Classification (Q)
|
96% |
634
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2528
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10807
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12213
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11740
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1177
93.3 IPS |
|
|
Object Detection (HP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (Q)
|
92% |
780
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
3815
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
4153
49.3 IPS |
|
|
Face Detection (Q)
|
100% |
3876
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7699
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7663
59.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7523
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18097
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22159
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21431
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2792
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2637
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4296
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4276
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
