iPad mini (5th generation)
Geekbench AI Score
646
Single Precision Score
782
Half Precision Score
287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | February 06 2025 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
216
40.2 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.1 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
669
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1754
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2508
19.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
418
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
4591
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
5605
7.21 IPS |
|
|
Style Transfer (Q)
|
96% |
1462
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.0 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.3 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.0 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (Q)
|
98% |
158
2.73 IPS |
