iPad mini (6th generation)
Geekbench AI Score
3020
Single Precision Score
3261
Half Precision Score
3124
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
701
130.4 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.1 IPS |
|
|
Image Classification (Q)
|
96% |
577
107.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10856
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12117
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11749
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (Q)
|
92% |
859
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7436
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7809
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7758
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18249
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22127
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21502
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2643
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4119
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
839
14.5 IPS |
