iPad mini (6th generation)
Geekbench AI Score
3160
Single Precision Score
5455
Half Precision Score
4397
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | funskeen |
| Upload Date | December 08 2024 07:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
2245
417.4 IPS |
|
|
Image Classification (Q)
|
96% |
1540
287.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2351
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13384
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11326
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2609
207.7 IPS |
|
|
Object Detection (Q)
|
94% |
1835
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5517
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3051
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5276
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10731
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7251
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16818
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25583
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21120
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4475
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3388
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5508
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5493
94.9 IPS |
