iPad mini (6th generation)
Geekbench AI Score
2926
Single Precision Score
19344
Half Precision Score
22036
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | October 16 2025 05:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1190
221.3 IPS |
|
|
Image Classification (HP)
|
100% |
7350
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
10245
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12518
202.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13257
214.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
74788
87.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
80599
94.5 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.9 IPS |
|
|
Object Detection (HP)
|
99% |
10347
823.1 IPS |
|
|
Object Detection (Q)
|
91% |
11953
955.1 IPS |
|
|
Face Detection (SP)
|
100% |
2438
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
25829
306.9 IPS |
|
|
Face Detection (Q)
|
100% |
33979
403.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4797
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55441
427.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76458
597.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15256
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
148889
191.4 IPS |
|
|
Style Transfer (Q)
|
96% |
153339
197.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29878
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29520
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2470
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
