iPad mini (6th generation)
Geekbench AI Score
2752
Single Precision Score
2937
Half Precision Score
2780
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:15 AM |
| 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 | iPad14,1 |
| 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% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (Q)
|
97% |
644
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2243
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10838
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11765
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10850
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (Q)
|
91% |
934
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
3589
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7844
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7589
58.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6718
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18202
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21840
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20313
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2901
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2585
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
98% |
365
6.31 IPS |
