iPad mini (6th generation) - AI - NE iPad mini (6th generation)
Geekbench AI Score
3177
Single Precision Score
18816
Half Precision Score
21031
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | January 21 2025 01:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
8338
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
9537
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11651
188.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13141
213.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6275
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
76717
89.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
80759
94.7 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
10808
859.8 IPS |
|
|
Object Detection (Q)
|
91% |
11506
919.3 IPS |
|
|
Face Detection (SP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
24647
292.9 IPS |
|
|
Face Detection (Q)
|
100% |
32679
388.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5274
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52951
408.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
69082
539.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16937
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
143035
183.9 IPS |
|
|
Style Transfer (Q)
|
96% |
135501
174.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26134
965.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27031
998.1 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2474
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5965
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7108
122.8 IPS |
