iPhone 11
Geekbench ML Score
1649
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 07:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
275
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
2547
476.6 IPS |
|
|
Image Classification (I8)
|
99% |
2521
471.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
217
3.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
272
4.55 IPS |
|
|
Image Segmentation (I8)
|
100% |
272
4.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
2228
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
23579
28.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
22627
27.4 IPS |
|
|
Object Detection (F32)
|
100% |
404
30.2 IPS |
|
|
Object Detection (F16)
|
100% |
1157
86.4 IPS |
|
|
Object Detection (I8)
|
97% |
490
36.5 IPS |
|
|
Face Detection (F32)
|
100% |
2512
29.9 IPS |
|
|
Face Detection (F16)
|
98% |
4595
54.6 IPS |
|
|
Face Detection (I8)
|
97% |
4703
55.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2479
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
19406
150.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
21147
164.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5809
7.64 IPS |
|
|
Style Transfer (F16)
|
100% |
17316
22.8 IPS |
|
|
Style Transfer (I8)
|
100% |
17218
22.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1135
40.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4665
166.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4447
158.8 IPS |
|
|
Text Classification (F32)
|
100% |
229
329.6 IPS |
|
|
Text Classification (F16)
|
100% |
305
438.1 IPS |
|
|
Text Classification (I8)
|
96% |
299
429.8 IPS |
|
|
Machine Translation (F32)
|
100% |
206
3.79 IPS |
|
|
Machine Translation (F16)
|
100% |
208
3.83 IPS |
|
|
Machine Translation (I8)
|
99% |
212
3.89 IPS |
