iPad14,8
Geekbench ML Score
6990
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 12:48 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 | 3.49 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% |
2839
531.2 IPS |
|
|
Image Classification (F16)
|
100% |
6490
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6896
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1390
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1598
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21376
25.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
80459
97.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
84204
102.0 IPS |
|
|
Object Detection (F32)
|
100% |
2690
200.8 IPS |
|
|
Object Detection (F16)
|
100% |
3605
269.1 IPS |
|
|
Object Detection (I8)
|
97% |
2475
184.8 IPS |
|
|
Face Detection (F32)
|
100% |
8896
105.8 IPS |
|
|
Face Detection (F16)
|
97% |
10553
125.5 IPS |
|
|
Face Detection (I8)
|
96% |
10713
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15263
118.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
36795
285.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
35609
276.2 IPS |
|
|
Style Transfer (F32)
|
100% |
37492
49.3 IPS |
|
|
Style Transfer (F16)
|
100% |
132915
174.8 IPS |
|
|
Style Transfer (I8)
|
100% |
131977
173.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5304
189.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16361
584.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18559
662.8 IPS |
|
|
Text Classification (F32)
|
100% |
1110
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
747
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
745
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
645
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2627
48.4 IPS |
|
|
Machine Translation (I8)
|
99% |
622
11.4 IPS |
