iPhone 8
Geekbench ML Score
618
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 23 2024 10:55 AM |
| 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
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
141
26.4 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
2298
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2835
3.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
2608
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
302
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
293
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
917
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
987
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
1003
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2170
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2372
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2363
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4190
5.51 IPS |
|
|
Style Transfer (F16)
|
100% |
4651
6.12 IPS |
|
|
Style Transfer (I8)
|
100% |
4720
6.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1170
41.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
986
35.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
993
35.5 IPS |
|
|
Text Classification (F32)
|
100% |
67
96.3 IPS |
|
|
Text Classification (F16)
|
100% |
171
246.4 IPS |
|
|
Text Classification (I8)
|
96% |
180
258.2 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.81 IPS |
|
|
Machine Translation (F16)
|
100% |
227
4.17 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.34 IPS |
