iPhone 8
Geekbench ML Score
349
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 13 2024 04:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
216
40.5 IPS |
|
|
Image Classification (I8)
|
99% |
213
39.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
191
3.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
914
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
865
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
876
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
233
17.4 IPS |
|
|
Object Detection (F16)
|
100% |
221
16.5 IPS |
|
|
Object Detection (I8)
|
97% |
241
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
446
5.30 IPS |
|
|
Face Detection (F16)
|
100% |
428
5.09 IPS |
|
|
Face Detection (I8)
|
99% |
398
4.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
478
3.71 IPS |
|
|
Depth Estimation (F16)
|
100% |
431
3.34 IPS |
|
|
Depth Estimation (I8)
|
99% |
425
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1115
1.47 IPS |
|
|
Style Transfer (F16)
|
100% |
1042
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
1051
1.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
418
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
450
16.1 IPS |
|
|
Text Classification (F32)
|
100% |
204
292.6 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.8 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.9 IPS |
|
|
Machine Translation (F32)
|
100% |
269
4.96 IPS |
|
|
Machine Translation (F16)
|
100% |
112
2.07 IPS |
|
|
Machine Translation (I8)
|
99% |
174
3.20 IPS |
