iPhone 8
Geekbench ML Score
618
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 01 2024 09:13 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% |
181
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2345
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
2674
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2732
3.31 IPS |
|
|
Object Detection (F32)
|
100% |
260
19.4 IPS |
|
|
Object Detection (F16)
|
100% |
278
20.7 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
967
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (I8)
|
99% |
914
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2146
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2422
18.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2612
20.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4081
5.37 IPS |
|
|
Style Transfer (F16)
|
100% |
4811
6.33 IPS |
|
|
Style Transfer (I8)
|
100% |
4535
5.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
980
35.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
940
33.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1279
45.7 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.0 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.0 IPS |
|
|
Text Classification (I8)
|
96% |
203
292.1 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.84 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.39 IPS |
|
|
Machine Translation (I8)
|
99% |
300
5.52 IPS |
