iPad14,8
Geekbench ML Score
7040
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 06:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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% |
2819
527.4 IPS |
|
|
Image Classification (F16)
|
100% |
6445
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6742
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1389
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1580
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1595
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
20874
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
81858
99.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
84862
102.8 IPS |
|
|
Object Detection (F32)
|
100% |
2681
200.1 IPS |
|
|
Object Detection (F16)
|
100% |
3660
273.2 IPS |
|
|
Object Detection (I8)
|
97% |
2484
185.4 IPS |
|
|
Face Detection (F32)
|
100% |
8857
105.3 IPS |
|
|
Face Detection (F16)
|
97% |
10628
126.4 IPS |
|
|
Face Detection (I8)
|
96% |
10646
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14913
115.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
38217
296.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
35170
272.7 IPS |
|
|
Style Transfer (F32)
|
100% |
36625
48.2 IPS |
|
|
Style Transfer (F16)
|
100% |
130962
172.3 IPS |
|
|
Style Transfer (I8)
|
100% |
132393
174.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5898
210.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18318
654.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18306
653.8 IPS |
|
|
Text Classification (F32)
|
100% |
1136
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
762
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
651
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2603
47.9 IPS |
|
|
Machine Translation (I8)
|
99% |
628
11.6 IPS |
