iPad mini (5th generation)
Geekbench AI Score
665
Single Precision Score
792
Half Precision Score
290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 07:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,1 |
| Motherboard | J210AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
668
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1765
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2520
19.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
420
3.28 IPS |
|
|
Style Transfer (SP)
|
100% |
4543
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
5616
7.22 IPS |
|
|
Style Transfer (Q)
|
96% |
1471
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
295
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.1 IPS |
|
|
Text Classification (HP)
|
100% |
191
254.9 IPS |
|
|
Text Classification (Q)
|
93% |
197
263.9 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
98% |
177
3.06 IPS |
