iPad mini (6th generation)
Geekbench AI Score
3188
Single Precision Score
5461
Half Precision Score
4417
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 06:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.0 IPS |
|
|
Image Classification (Q)
|
96% |
1553
290.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2348
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13516
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11570
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2630
209.4 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5541
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3064
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5307
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10764
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7353
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16949
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25694
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21541
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3399
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5460
94.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5470
94.5 IPS |
