iPhone 8
Geekbench ML Score
625
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
2338
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2876
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2852
3.45 IPS |
|
|
Object Detection (F32)
|
100% |
324
24.2 IPS |
|
|
Object Detection (F16)
|
100% |
264
19.7 IPS |
|
|
Object Detection (I8)
|
97% |
287
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
902
10.7 IPS |
|
|
Face Detection (F16)
|
100% |
921
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
923
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2335
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2551
19.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2406
18.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4575
6.02 IPS |
|
|
Style Transfer (F16)
|
100% |
4745
6.24 IPS |
|
|
Style Transfer (I8)
|
100% |
4543
5.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1036
37.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1162
41.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1023
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
53
75.5 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.1 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.1 IPS |
|
|
Machine Translation (F32)
|
100% |
302
5.57 IPS |
|
|
Machine Translation (F16)
|
100% |
232
4.28 IPS |
|
|
Machine Translation (I8)
|
99% |
294
5.41 IPS |
