iPhone 8
Geekbench ML Score
422
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 09:18 PM |
| Views | 3 |
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% |
239
44.7 IPS |
|
|
Image Classification (F16)
|
100% |
222
41.5 IPS |
|
|
Image Classification (I8)
|
99% |
218
40.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
205
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
205
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
971
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
1029
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
1016
1.23 IPS |
|
|
Object Detection (F32)
|
100% |
248
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
241
18.0 IPS |
|
|
Object Detection (I8)
|
97% |
258
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
477
5.67 IPS |
|
|
Face Detection (F16)
|
100% |
469
5.58 IPS |
|
|
Face Detection (I8)
|
99% |
465
5.53 IPS |
|
|
Depth Estimation (F32)
|
100% |
624
4.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
577
4.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
574
4.45 IPS |
|
|
Style Transfer (F32)
|
100% |
1703
2.24 IPS |
|
|
Style Transfer (F16)
|
100% |
1691
2.22 IPS |
|
|
Style Transfer (I8)
|
100% |
1694
2.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
542
19.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
564
20.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
569
20.3 IPS |
|
|
Text Classification (F32)
|
100% |
259
372.8 IPS |
|
|
Text Classification (F16)
|
100% |
213
305.8 IPS |
|
|
Text Classification (I8)
|
96% |
222
318.6 IPS |
|
|
Machine Translation (F32)
|
100% |
280
5.15 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
99% |
254
4.67 IPS |
