iPad mini (6th generation)
Geekbench AI Score
2622
Single Precision Score
2880
Half Precision Score
2717
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
632
117.6 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
97% |
599
111.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2238
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10779
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11766
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10899
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
91% |
842
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
3549
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7355
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7570
58.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6917
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18062
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21644
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20295
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2588
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2491
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
98% |
351
6.06 IPS |
