iPad14,8
Geekbench ML Score
3472
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:22 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1487
278.3 IPS |
|
|
Image Classification (F16)
|
100% |
1875
350.8 IPS |
|
|
Image Classification (I8)
|
99% |
1883
352.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
784
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5893
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
13844
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13980
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
2011
150.1 IPS |
|
|
Object Detection (I8)
|
97% |
1477
110.3 IPS |
|
|
Face Detection (F32)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
4343
51.6 IPS |
|
|
Face Detection (I8)
|
97% |
4351
51.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5342
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8511
66.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8516
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16883
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26298
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26359
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3798
135.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5106
182.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4997
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
2035
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3282
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3274
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
1319
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1532
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1253
23.1 IPS |
