iPad mini (6th generation)
Geekbench AI Score
3196
Single Precision Score
5477
Half Precision Score
4412
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | budbrain |
| Upload Date | November 05 2024 08:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (Q)
|
96% |
1544
288.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2363
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6068
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
13624
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11368
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
2614
208.1 IPS |
|
|
Object Detection (Q)
|
94% |
1847
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5594
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10778
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7351
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17077
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25632
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21263
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4471
165.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3396
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5495
94.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5457
94.3 IPS |
