iPad13,18
Geekbench ML Score
1232
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 07:47 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 | 1.29 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% |
490
91.8 IPS |
|
|
Image Classification (F16)
|
100% |
641
120.0 IPS |
|
|
Image Classification (I8)
|
99% |
647
121.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
289
4.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
287
4.80 IPS |
|
|
Image Segmentation (I8)
|
100% |
291
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
2205
2.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
5422
6.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
5196
6.29 IPS |
|
|
Object Detection (F32)
|
100% |
490
36.6 IPS |
|
|
Object Detection (F16)
|
100% |
666
49.7 IPS |
|
|
Object Detection (I8)
|
97% |
491
36.7 IPS |
|
|
Face Detection (F32)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (F16)
|
97% |
1585
18.8 IPS |
|
|
Face Detection (I8)
|
97% |
1574
18.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1994
15.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3193
24.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3208
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6025
7.92 IPS |
|
|
Style Transfer (F16)
|
100% |
9724
12.8 IPS |
|
|
Style Transfer (I8)
|
100% |
9642
12.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1465
52.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1926
68.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1988
71.0 IPS |
|
|
Text Classification (F32)
|
100% |
927
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1354
1.95 KIPS |
|
|
Text Classification (I8)
|
96% |
1344
1.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
292
5.37 IPS |
|
|
Machine Translation (F16)
|
100% |
435
8.00 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.38 IPS |
