iPhone 11
Geekbench ML Score
1863
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
719
134.6 IPS |
|
|
Image Classification (F16)
|
100% |
1136
212.5 IPS |
|
|
Image Classification (I8)
|
99% |
1138
213.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
422
7.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
6.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
425
7.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
3346
4.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
6506
7.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
6511
7.88 IPS |
|
|
Object Detection (F32)
|
100% |
685
51.1 IPS |
|
|
Object Detection (F16)
|
100% |
1192
89.0 IPS |
|
|
Object Detection (I8)
|
97% |
675
50.4 IPS |
|
|
Face Detection (F32)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (F16)
|
97% |
2586
30.7 IPS |
|
|
Face Detection (I8)
|
97% |
2589
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2929
22.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4885
37.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4904
38.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7441
9.79 IPS |
|
|
Style Transfer (F16)
|
100% |
13251
17.4 IPS |
|
|
Style Transfer (I8)
|
100% |
13314
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2125
75.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2736
97.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2804
100.1 IPS |
|
|
Text Classification (F32)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
2232
3.21 KIPS |
|
|
Text Classification (I8)
|
96% |
1860
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
613
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
625
11.5 IPS |
