iPhone 11
Geekbench ML Score
67
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 05 2024 09:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
276
51.7 IPS |
|
|
Image Classification (F16)
|
100% |
2710
507.1 IPS |
|
|
Image Classification (I8)
|
99% |
2654
496.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
224
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
289
4.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
2245
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
25960
31.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
22320
27.0 IPS |
|
|
Object Detection (F32)
|
100% |
455
33.9 IPS |
|
|
Object Detection (F16)
|
100% |
1183
88.3 IPS |
|
|
Object Detection (I8)
|
97% |
531
39.7 IPS |
|
|
Face Detection (F32)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (F16)
|
98% |
5152
61.3 IPS |
|
|
Face Detection (I8)
|
97% |
4959
59.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2494
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3475
26.9 IPS |
|
|
Depth Estimation (I8)
|
0
|
||
|
Style Transfer (F32)
|
0
|
||
|
Style Transfer (F16)
|
0
|
||
|
Style Transfer (I8)
|
0
|
||
|
Image Super-Resolution (F32)
|
0
|
||
|
Image Super-Resolution (F16)
|
0
|
||
|
Image Super-Resolution (I8)
|
0
|
||
|
Text Classification (F32)
|
0
|
||
|
Text Classification (F16)
|
0
|
||
|
Text Classification (I8)
|
0
|
||
|
Machine Translation (F32)
|
0
|
||
|
Machine Translation (F16)
|
0
|
||
|
Machine Translation (I8)
|
0
|
