iPhone 11
Geekbench ML Score
684
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 06:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
298
55.8 IPS |
|
|
Image Classification (F16)
|
100% |
351
65.6 IPS |
|
|
Image Classification (I8)
|
99% |
349
65.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
206
3.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
1659
2.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
3611
4.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
3078
3.73 IPS |
|
|
Object Detection (F32)
|
100% |
322
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
424
31.6 IPS |
|
|
Object Detection (I8)
|
97% |
308
23.0 IPS |
|
|
Face Detection (F32)
|
100% |
669
7.95 IPS |
|
|
Face Detection (F16)
|
100% |
676
8.04 IPS |
|
|
Face Detection (I8)
|
99% |
681
8.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
1095
8.49 IPS |
|
|
Depth Estimation (F16)
|
99% |
1430
11.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
1585
12.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3026
3.98 IPS |
|
|
Style Transfer (F16)
|
100% |
4579
6.02 IPS |
|
|
Style Transfer (I8)
|
100% |
4572
6.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
975
34.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1085
38.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1082
38.6 IPS |
|
|
Text Classification (F32)
|
100% |
449
644.7 IPS |
|
|
Text Classification (F16)
|
100% |
247
355.6 IPS |
|
|
Text Classification (I8)
|
96% |
236
338.9 IPS |
|
|
Machine Translation (F32)
|
100% |
295
5.42 IPS |
|
|
Machine Translation (F16)
|
99% |
380
7.00 IPS |
|
|
Machine Translation (I8)
|
99% |
295
5.43 IPS |
