iPad mini (6th generation)
Geekbench ML Score
4282
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Tarnach |
| Upload Date | May 10 2024 03:47 AM |
| Views | 2 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
102.8 IPS |
|
|
Image Classification (F16)
|
100% |
4888
914.6 IPS |
|
|
Image Classification (I8)
|
99% |
5199
972.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1023
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1617
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1634
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10274
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
62189
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64652
78.3 IPS |
|
|
Object Detection (F32)
|
100% |
685
51.1 IPS |
|
|
Object Detection (F16)
|
100% |
3358
250.7 IPS |
|
|
Object Detection (I8)
|
97% |
629
46.9 IPS |
|
|
Face Detection (F32)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
9297
110.5 IPS |
|
|
Face Detection (I8)
|
96% |
9332
111.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6742
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
30802
238.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
33135
257.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18387
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
95705
125.9 IPS |
|
|
Style Transfer (I8)
|
100% |
97488
128.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2626
93.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14467
516.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14387
513.8 IPS |
|
|
Text Classification (F32)
|
100% |
363
521.1 IPS |
|
|
Text Classification (F16)
|
100% |
816
1.17 KIPS |
|
|
Text Classification (I8)
|
96% |
367
527.5 IPS |
|
|
Machine Translation (F32)
|
100% |
449
8.27 IPS |
|
|
Machine Translation (F16)
|
100% |
1145
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
413
7.60 IPS |
