iPad13,18
Geekbench ML Score
2558
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 28 2024 10:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 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 | 3.73 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1087
203.3 IPS |
|
|
Image Classification (F16)
|
100% |
1452
271.7 IPS |
|
|
Image Classification (I8)
|
99% |
1447
270.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
496
8.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
488
8.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
483
8.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
4867
5.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
10537
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10812
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
1090
81.4 IPS |
|
|
Object Detection (F16)
|
100% |
1442
107.6 IPS |
|
|
Object Detection (I8)
|
97% |
1091
81.4 IPS |
|
|
Face Detection (F32)
|
100% |
1712
20.4 IPS |
|
|
Face Detection (F16)
|
97% |
3291
39.1 IPS |
|
|
Face Detection (I8)
|
97% |
3291
39.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4374
33.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7060
54.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7058
54.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12891
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21310
28.0 IPS |
|
|
Style Transfer (I8)
|
100% |
21183
27.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2841
101.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4232
151.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4176
149.1 IPS |
|
|
Text Classification (F32)
|
100% |
1929
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3065
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3047
4.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
667
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
762
14.0 IPS |
|
|
Machine Translation (I8)
|
99% |
635
11.7 IPS |
