iPad mini (5th generation)
Geekbench AI Score
510
Single Precision Score
2119
Half Precision Score
377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 02:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
196
3.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
24888
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
902
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
5222
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
267
3.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
725
5.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
18468
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
481
3.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1930
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1903
2.45 IPS |
|
|
Style Transfer (Q)
|
96% |
1581
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
480
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.5 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.0 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.7 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
98% |
327
5.65 IPS |
