iPad mini (6th generation)
Geekbench AI Score
2694
Single Precision Score
2904
Half Precision Score
2733
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:12 PM |
| Views | 2 |
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% |
677
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
97% |
646
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2246
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10861
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11733
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10964
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (Q)
|
91% |
835
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
4125
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
3589
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7712
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7229
55.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7019
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18065
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21850
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20445
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2435
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4121
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
98% |
340
5.87 IPS |
