iPad mini (6th generation)
Geekbench AI Score
2978
Single Precision Score
3270
Half Precision Score
3222
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 05:05 AM |
| Views | 18 |
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 | iPad14,2 |
| Motherboard | J311AP |
| 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% |
699
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2556
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10831
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12184
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11845
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (Q)
|
92% |
988
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
4135
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7424
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7453
57.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7468
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18088
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22149
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21495
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2696
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4233
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
845
14.6 IPS |
