iPad mini (5th generation)
Geekbench AI Score
651
Single Precision Score
1078
Half Precision Score
981
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 13 2026 07:04 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.6 IPS |
|
|
Image Classification (Q)
|
96% |
542
101.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1092
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
99% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
92% |
602
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (Q)
|
100% |
1186
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.19 IPS |
|
|
Depth Estimation (HP)
|
98% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1436
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2261
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3723
4.79 IPS |
|
|
Style Transfer (Q)
|
96% |
3819
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
756
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.6 IPS |
|
|
Text Classification (HP)
|
100% |
570
760.8 IPS |
|
|
Text Classification (Q)
|
93% |
567
761.0 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1057
18.3 IPS |
