iPad mini (6th generation)
Geekbench AI Score
2768
Single Precision Score
2855
Half Precision Score
2701
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 11:06 PM |
| Views | 1 |
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 | iPad14,2 |
| 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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
97% |
590
110.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2262
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10716
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11657
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10949
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
91% |
797
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
3636
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7704
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7031
54.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7085
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18023
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21727
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20376
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2886
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2470
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
98% |
332
5.74 IPS |
