iPad mini (6th generation)
Geekbench AI Score
2759
Single Precision Score
2938
Half Precision Score
2786
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 10:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
710
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.5 IPS |
|
|
Image Classification (Q)
|
97% |
611
114.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2270
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10883
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11829
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10982
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1208
95.8 IPS |
|
|
Object Detection (HP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (Q)
|
91% |
966
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
3574
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7689
59.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7022
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18074
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21925
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20460
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2915
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2615
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
98% |
344
5.95 IPS |
