G iPad mini iPad mini (5th generation)
Geekbench AI Score
492
Single Precision Score
2076
Half Precision Score
209
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 01:27 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
191
3.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
24541
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
801
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (Q)
|
94% |
199
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (HP)
|
100% |
5234
62.2 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
733
5.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
18434
142.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
472
3.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1774
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1795
2.31 IPS |
|
|
Style Transfer (Q)
|
96% |
1445
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3513
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
490
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.4 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.8 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
98% |
323
5.57 IPS |
