iPad mini (6th generation)
Geekbench AI Score
3021
Single Precision Score
20039
Half Precision Score
22068
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 07:53 PM |
| Views | 1 |
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% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
8457
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
10774
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12683
205.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12794
207.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
78658
91.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
81114
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
1285
102.0 IPS |
|
|
Object Detection (HP)
|
99% |
11531
917.2 IPS |
|
|
Object Detection (Q)
|
91% |
12684
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
26192
311.2 IPS |
|
|
Face Detection (Q)
|
100% |
33753
401.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4871
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56128
432.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
66442
519.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16424
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156101
200.7 IPS |
|
|
Style Transfer (Q)
|
96% |
150898
194.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29908
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29178
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2548
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6233
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7679
132.7 IPS |
