iPad mini (6th generation)
Geekbench AI Score
3017
Single Precision Score
3266
Half Precision Score
3251
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
646
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
96% |
657
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2627
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10824
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12135
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11766
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.4 IPS |
|
|
Object Detection (HP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (Q)
|
92% |
1084
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
4136
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7937
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7639
58.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7135
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18112
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22081
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21542
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2805
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4201
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4168
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.7 IPS |
