iPad mini (5th generation)
Geekbench AI Score
652
Single Precision Score
781
Half Precision Score
285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | February 03 2025 01:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1511
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
654
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
92% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1706
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
417
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
4509
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
5563
7.15 IPS |
|
|
Style Transfer (Q)
|
96% |
1463
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.9 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.8 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.6 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
98% |
153
2.65 IPS |
