iPhone 8
Geekbench ML Score
628
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 09:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
178
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.5 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2295
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2800
3.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
2605
3.15 IPS |
|
|
Object Detection (F32)
|
100% |
284
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
339
25.3 IPS |
|
|
Object Detection (I8)
|
97% |
346
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
974
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
980
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2263
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2229
17.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2603
20.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4687
6.17 IPS |
|
|
Style Transfer (F16)
|
100% |
4877
6.42 IPS |
|
|
Style Transfer (I8)
|
100% |
4728
6.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
952
34.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
934
33.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1098
39.2 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.8 IPS |
|
|
Text Classification (I8)
|
96% |
204
292.6 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.44 IPS |
|
|
Machine Translation (I8)
|
99% |
295
5.43 IPS |
