iPad13,17
Geekbench ML Score
3522
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 09 2024 02:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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% |
1374
257.2 IPS |
|
|
Image Classification (F16)
|
100% |
2144
401.2 IPS |
|
|
Image Classification (I8)
|
99% |
2144
401.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
641
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
765
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
768
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6313
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
13365
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13343
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1355
101.2 IPS |
|
|
Object Detection (F16)
|
100% |
1986
148.3 IPS |
|
|
Object Detection (I8)
|
97% |
1354
101.1 IPS |
|
|
Face Detection (F32)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5436
64.6 IPS |
|
|
Face Detection (I8)
|
97% |
5442
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5751
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11036
85.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11031
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16767
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
25804
33.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25808
33.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3873
138.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4593
164.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4671
166.8 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3551
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3574
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1109
20.4 IPS |
