iPhone 8
Geekbench ML Score
327
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 04 2024 03:08 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
228
42.7 IPS |
|
|
Image Classification (F16)
|
100% |
204
38.2 IPS |
|
|
Image Classification (I8)
|
99% |
201
37.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
3.04 IPS |
|
|
Image Segmentation (I8)
|
100% |
176
2.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
855
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
735
0.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
674
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
143
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
130
9.68 IPS |
|
|
Object Detection (I8)
|
97% |
187
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
359
4.27 IPS |
|
|
Face Detection (F16)
|
100% |
357
4.24 IPS |
|
|
Face Detection (I8)
|
99% |
355
4.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
428
3.32 IPS |
|
|
Depth Estimation (I8)
|
99% |
427
3.31 IPS |
|
|
Style Transfer (F32)
|
100% |
1133
1.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1045
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
1043
1.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
351
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
420
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
181
260.2 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.9 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.0 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.30 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.08 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.72 IPS |
