iPad mini (5th generation)
Geekbench AI Score
492
Single Precision Score
2075
Half Precision Score
365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | February 03 2025 01:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
190
3.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
22697
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
831
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (Q)
|
94% |
195
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
5307
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
256
3.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
18545
142.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
465
3.63 IPS |
|
|
Style Transfer (SP)
|
100% |
1811
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1805
2.32 IPS |
|
|
Style Transfer (Q)
|
96% |
1508
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3541
130.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
489
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.9 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.1 IPS |
|
|
Text Classification (Q)
|
93% |
292
392.3 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
98% |
316
5.47 IPS |
