iPad14,8
Geekbench ML Score
7009
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:19 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2831
529.8 IPS |
|
|
Image Classification (F16)
|
100% |
6458
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6799
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1386
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1594
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1580
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
21238
25.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
80604
97.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
83929
101.6 IPS |
|
|
Object Detection (F32)
|
100% |
2686
200.6 IPS |
|
|
Object Detection (F16)
|
100% |
3605
269.1 IPS |
|
|
Object Detection (I8)
|
97% |
2497
186.4 IPS |
|
|
Face Detection (F32)
|
100% |
8876
105.5 IPS |
|
|
Face Detection (F16)
|
97% |
10659
126.7 IPS |
|
|
Face Detection (I8)
|
96% |
10733
127.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15351
119.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
35486
275.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
35837
277.9 IPS |
|
|
Style Transfer (F32)
|
100% |
37341
49.1 IPS |
|
|
Style Transfer (F16)
|
100% |
133249
175.3 IPS |
|
|
Style Transfer (I8)
|
100% |
132051
173.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6046
215.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18437
658.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17034
608.3 IPS |
|
|
Text Classification (F32)
|
100% |
1111
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
741
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
740
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
629
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2619
48.2 IPS |
|
|
Machine Translation (I8)
|
99% |
627
11.5 IPS |
