iPad mini (6th generation)
Geekbench AI Score
2737
Single Precision Score
2958
Half Precision Score
2744
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 03:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
721
134.1 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
97% |
595
111.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2263
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10830
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11818
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11009
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (Q)
|
91% |
817
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
3569
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7683
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7427
57.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6974
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18092
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20360
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2865
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2620
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
