iPad mini (6th generation) - AI - GPU iPad mini (6th generation)
Geekbench AI Score
2745
Single Precision Score
2938
Half Precision Score
2677
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | January 21 2025 01:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
645
119.9 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
97% |
577
107.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2262
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10887
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11692
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10930
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
91% |
767
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
3602
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7797
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7466
57.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6954
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18113
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21767
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20374
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2497
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
98% |
331
5.73 IPS |
