iPad mini (6th generation)
Geekbench ML Score
1958
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
608
113.7 IPS |
|
|
Image Classification (F16)
|
100% |
606
113.3 IPS |
|
|
Image Classification (I8)
|
99% |
566
105.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1015
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1017
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10236
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
11214
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11014
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
796
59.4 IPS |
|
|
Object Detection (F16)
|
100% |
730
54.5 IPS |
|
|
Object Detection (I8)
|
97% |
697
52.1 IPS |
|
|
Face Detection (F32)
|
100% |
3243
38.6 IPS |
|
|
Face Detection (F16)
|
98% |
3315
39.4 IPS |
|
|
Face Detection (I8)
|
97% |
3825
45.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6769
52.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6163
47.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
6974
54.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18308
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22504
29.6 IPS |
|
|
Style Transfer (I8)
|
100% |
22501
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2574
91.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2511
89.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2562
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
359
515.8 IPS |
|
|
Text Classification (F16)
|
100% |
400
574.9 IPS |
|
|
Text Classification (I8)
|
96% |
227
326.1 IPS |
|
|
Machine Translation (F32)
|
100% |
449
8.26 IPS |
|
|
Machine Translation (F16)
|
100% |
459
8.46 IPS |
|
|
Machine Translation (I8)
|
99% |
408
7.52 IPS |
