iPad mini (6th generation)
Geekbench AI Score
3113
Single Precision Score
19794
Half Precision Score
21825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 02:37 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
8046
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10497
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12481
202.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14157
229.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5566
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
82172
95.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80135
93.9 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
99% |
10201
811.5 IPS |
|
|
Object Detection (Q)
|
91% |
11853
947.1 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
26695
317.2 IPS |
|
|
Face Detection (Q)
|
100% |
32989
392.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56712
436.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
67265
525.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16511
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150982
194.1 IPS |
|
|
Style Transfer (Q)
|
96% |
154898
199.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30563
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27868
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2663
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5984
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
