iPad mini (6th generation)
Geekbench AI Score
2785
Single Precision Score
4240
Half Precision Score
3465
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:38 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
1688
314.0 IPS |
|
|
Image Classification (Q)
|
99% |
1679
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5259
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
12455
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10364
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
1959
155.9 IPS |
|
|
Object Detection (Q)
|
94% |
1497
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
2341
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4575
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7474
57.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3455
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15100
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23896
30.7 IPS |
|
|
Style Transfer (Q)
|
100% |
23822
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4519
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3313
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4014
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3952
68.3 IPS |
