iPad mini (5th generation)
Geekbench AI Score
648
Single Precision Score
781
Half Precision Score
289
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 12:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1473
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2104
2.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (Q)
|
100% |
258
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1627
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2390
18.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
419
3.28 IPS |
|
|
Style Transfer (SP)
|
100% |
4273
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5399
6.94 IPS |
|
|
Style Transfer (Q)
|
96% |
1486
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.8 IPS |
|
|
Text Classification (Q)
|
93% |
195
261.4 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.06 IPS |
|
|
Machine Translation (Q)
|
98% |
182
3.14 IPS |
