iPhone 8
Geekbench ML Score
420
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 28 2024 10:33 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
236
44.2 IPS |
|
|
Image Classification (F16)
|
100% |
222
41.5 IPS |
|
|
Image Classification (I8)
|
99% |
218
40.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
206
3.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
207
3.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
1029
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1004
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
996
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
253
18.9 IPS |
|
|
Object Detection (F16)
|
100% |
238
17.8 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.70 IPS |
|
|
Face Detection (F16)
|
100% |
474
5.63 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
618
4.80 IPS |
|
|
Depth Estimation (F16)
|
100% |
579
4.49 IPS |
|
|
Depth Estimation (I8)
|
99% |
574
4.45 IPS |
|
|
Style Transfer (F32)
|
100% |
1713
2.25 IPS |
|
|
Style Transfer (F16)
|
100% |
1710
2.25 IPS |
|
|
Style Transfer (I8)
|
100% |
1664
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
538
19.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
558
19.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
561
20.0 IPS |
|
|
Text Classification (F32)
|
100% |
257
369.6 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.5 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.3 IPS |
|
|
Machine Translation (F32)
|
100% |
275
5.07 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.15 IPS |
|
|
Machine Translation (I8)
|
99% |
241
4.43 IPS |
