iPhone 8
Geekbench ML Score
426
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2025 05:15 AM |
| 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% |
225
42.1 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.1 IPS |
|
|
Image Classification (I8)
|
99% |
206
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
191
3.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
1012
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1013
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
1016
1.23 IPS |
|
|
Object Detection (F32)
|
100% |
251
18.8 IPS |
|
|
Object Detection (F16)
|
100% |
243
18.2 IPS |
|
|
Object Detection (I8)
|
97% |
263
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.70 IPS |
|
|
Face Detection (F16)
|
100% |
470
5.59 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
629
4.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
591
4.58 IPS |
|
|
Depth Estimation (I8)
|
99% |
586
4.55 IPS |
|
|
Style Transfer (F32)
|
100% |
1773
2.33 IPS |
|
|
Style Transfer (F16)
|
100% |
1720
2.26 IPS |
|
|
Style Transfer (I8)
|
100% |
1704
2.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
558
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
569
20.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
567
20.3 IPS |
|
|
Text Classification (F32)
|
100% |
247
354.7 IPS |
|
|
Text Classification (F16)
|
100% |
213
305.6 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.8 IPS |
|
|
Machine Translation (F32)
|
100% |
328
6.04 IPS |
|
|
Machine Translation (F16)
|
100% |
268
4.94 IPS |
|
|
Machine Translation (I8)
|
99% |
325
5.99 IPS |
