iPhone 11
Geekbench ML Score
1746
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 20 2024 08:08 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
273
51.1 IPS |
|
|
Image Classification (F16)
|
100% |
2602
486.9 IPS |
|
|
Image Classification (I8)
|
99% |
2602
486.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
233
3.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
331
5.53 IPS |
|
|
Image Segmentation (I8)
|
100% |
330
5.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
2255
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
26247
31.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25946
31.4 IPS |
|
|
Object Detection (F32)
|
100% |
408
30.5 IPS |
|
|
Object Detection (F16)
|
100% |
1171
87.4 IPS |
|
|
Object Detection (I8)
|
97% |
475
35.5 IPS |
|
|
Face Detection (F32)
|
100% |
2444
29.1 IPS |
|
|
Face Detection (F16)
|
97% |
4820
57.3 IPS |
|
|
Face Detection (I8)
|
96% |
4883
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2464
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
21495
166.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
21083
163.5 IPS |
|
|
Style Transfer (F32)
|
24% |
5897
7.76 IPS |
|
|
Style Transfer (F16)
|
100% |
17902
23.5 IPS |
|
|
Style Transfer (I8)
|
100% |
18008
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1375
49.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5019
179.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5137
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
241
346.1 IPS |
|
|
Text Classification (F16)
|
100% |
310
444.8 IPS |
|
|
Text Classification (I8)
|
96% |
310
446.0 IPS |
|
|
Machine Translation (F32)
|
100% |
224
4.13 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.08 IPS |
|
|
Machine Translation (I8)
|
99% |
227
4.18 IPS |
