iPad mini (6th generation)
Geekbench ML Score
2000
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 29 2024 04:12 AM |
| Views | 1 |
System Information
| 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 |
| 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% |
565
105.8 IPS |
|
|
Image Classification (F16)
|
100% |
611
114.4 IPS |
|
|
Image Classification (I8)
|
99% |
541
101.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1150
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1048
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10309
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10998
13.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11013
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
752
56.1 IPS |
|
|
Object Detection (F16)
|
100% |
791
59.1 IPS |
|
|
Object Detection (I8)
|
97% |
839
62.6 IPS |
|
|
Face Detection (F32)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (F16)
|
98% |
3820
45.4 IPS |
|
|
Face Detection (I8)
|
97% |
3563
42.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6443
50.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6868
53.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
6763
52.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18162
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22471
29.6 IPS |
|
|
Style Transfer (I8)
|
100% |
22468
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2762
98.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2833
101.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2783
99.4 IPS |
|
|
Text Classification (F32)
|
100% |
359
515.3 IPS |
|
|
Text Classification (F16)
|
100% |
360
518.0 IPS |
|
|
Text Classification (I8)
|
96% |
230
329.9 IPS |
|
|
Machine Translation (F32)
|
100% |
448
8.24 IPS |
|
|
Machine Translation (F16)
|
100% |
468
8.61 IPS |
|
|
Machine Translation (I8)
|
99% |
407
7.50 IPS |
