iPad mini (5th generation)
Geekbench AI Score
573
Single Precision Score
664
Half Precision Score
257
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | SpideRaY |
| Upload Date | December 14 2025 05:34 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1511
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
100% |
262
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1669
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
4233
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
4730
6.08 IPS |
|
|
Style Transfer (Q)
|
96% |
1458
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
298
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
42
56.1 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.4 IPS |
|
|
Text Classification (Q)
|
93% |
53
71.2 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (Q)
|
98% |
193
3.34 IPS |
