iPad mini (6th generation)
Geekbench AI Score
3188
Single Precision Score
5475
Half Precision Score
4409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2264
421.1 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2356
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13444
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11391
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2626
209.1 IPS |
|
|
Object Detection (Q)
|
94% |
1845
147.0 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5534
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3082
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10734
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7293
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16930
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25598
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21246
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4438
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3351
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5602
96.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5527
95.5 IPS |
