iPad mini (6th generation)
Geekbench AI Score
3168
Single Precision Score
5444
Half Precision Score
4400
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | March 18 2025 11:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.8 IPS |
|
|
Image Classification (Q)
|
96% |
1539
287.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2357
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6108
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
13282
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11273
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2623
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
1841
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5522
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10727
82.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7321
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16915
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25575
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21209
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3327
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5474
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5484
94.8 IPS |
