iPhone 8
Geekbench ML Score
406
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 13 2025 05:59 AM |
| Views | 7 |
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% |
201
37.5 IPS |
|
|
Image Classification (F16)
|
100% |
184
34.5 IPS |
|
|
Image Classification (I8)
|
99% |
175
32.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
162
2.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
177
2.96 IPS |
|
|
Image Segmentation (I8)
|
100% |
184
3.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
868
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
915
1.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
880
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
234
17.4 IPS |
|
|
Object Detection (F16)
|
100% |
220
16.4 IPS |
|
|
Object Detection (I8)
|
97% |
232
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
458
5.45 IPS |
|
|
Face Detection (F16)
|
100% |
467
5.55 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
619
4.80 IPS |
|
|
Depth Estimation (F16)
|
100% |
586
4.55 IPS |
|
|
Depth Estimation (I8)
|
99% |
583
4.52 IPS |
|
|
Style Transfer (F32)
|
100% |
1761
2.32 IPS |
|
|
Style Transfer (F16)
|
100% |
1706
2.24 IPS |
|
|
Style Transfer (I8)
|
100% |
1709
2.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
557
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
572
20.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
565
20.2 IPS |
|
|
Text Classification (F32)
|
100% |
250
358.7 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.9 IPS |
|
|
Text Classification (I8)
|
96% |
221
318.0 IPS |
|
|
Machine Translation (F32)
|
100% |
331
6.10 IPS |
|
|
Machine Translation (F16)
|
100% |
261
4.80 IPS |
|
|
Machine Translation (I8)
|
99% |
323
5.94 IPS |
