iPad mini (6th generation)
Geekbench AI Score
3168
Single Precision Score
20223
Half Precision Score
22380
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 05:08 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
9510
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
10784
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12465
202.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13923
225.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6167
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
79985
93.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
80983
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
11073
880.9 IPS |
|
|
Object Detection (Q)
|
91% |
12534
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
23803
282.8 IPS |
|
|
Face Detection (Q)
|
100% |
33357
396.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5119
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58391
449.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
69976
546.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16930
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
156450
201.1 IPS |
|
|
Style Transfer (Q)
|
96% |
147863
190.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29765
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30602
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2683
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6356
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7299
126.1 IPS |
