iPad mini (5th generation)
Geekbench AI Score
514
Single Precision Score
2141
Half Precision Score
380
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
25093
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
919
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (HP)
|
100% |
5304
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
750
5.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
18764
144.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
492
3.84 IPS |
|
|
Style Transfer (SP)
|
100% |
1977
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1854
2.38 IPS |
|
|
Style Transfer (Q)
|
96% |
1543
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
271
362.1 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.2 IPS |
|
|
Text Classification (Q)
|
93% |
311
416.9 IPS |
|
|
Machine Translation (SP)
|
100% |
436
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (Q)
|
98% |
338
5.83 IPS |
