iPad mini (6th generation)
Geekbench AI Score
2993
Single Precision Score
5362
Half Precision Score
4377
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 11:03 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% |
1184
220.2 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (Q)
|
96% |
1475
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2166
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4784
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
12355
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11066
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2593
206.4 IPS |
|
|
Object Detection (Q)
|
94% |
1832
146.0 IPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5304
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2961
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5116
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9909
76.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6944
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16516
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26569
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21654
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4568
168.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3474
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4269
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6066
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6039
104.4 IPS |
