iPad mini (6th generation)
Geekbench AI Score
3017
Single Precision Score
19080
Half Precision Score
21504
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 01:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| 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% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
7655
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
10669
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12912
209.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14112
228.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5623
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
81272
94.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
81167
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
1285
102.0 IPS |
|
|
Object Detection (HP)
|
99% |
10809
859.8 IPS |
|
|
Object Detection (Q)
|
91% |
12508
999.4 IPS |
|
|
Face Detection (SP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
26268
312.1 IPS |
|
|
Face Detection (Q)
|
100% |
33743
400.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4944
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56663
436.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
66427
519.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16090
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
149075
191.6 IPS |
|
|
Style Transfer (Q)
|
96% |
139739
180.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29863
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28948
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6277
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7371
127.4 IPS |
