iPad mini (5th generation)
Geekbench AI Score
577
Single Precision Score
973
Half Precision Score
854
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Kenzmllr |
| Upload Date | September 17 2025 11:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.6 IPS |
|
|
Image Classification (Q)
|
96% |
501
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
800
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
99% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
92% |
458
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
1697
20.2 IPS |
|
|
Face Detection (Q)
|
100% |
1080
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
686
5.29 IPS |
|
|
Depth Estimation (HP)
|
98% |
1297
10.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1088
8.50 IPS |
|
|
Style Transfer (SP)
|
100% |
1800
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3299
4.24 IPS |
|
|
Style Transfer (Q)
|
96% |
3265
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
752
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.6 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.2 IPS |
|
|
Text Classification (Q)
|
93% |
567
761.0 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
99% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
956
16.5 IPS |
