iPhone 8
Geekbench ML Score
418
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 01 2025 05:52 AM |
| Views | 4 |
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% |
220
41.2 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
204
3.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
207
3.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
1040
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
989
1.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
990
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
255
19.1 IPS |
|
|
Object Detection (F16)
|
100% |
240
17.9 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
483
5.75 IPS |
|
|
Face Detection (F16)
|
100% |
474
5.64 IPS |
|
|
Face Detection (I8)
|
99% |
472
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
624
4.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (I8)
|
99% |
537
4.17 IPS |
|
|
Style Transfer (F32)
|
100% |
1373
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1569
2.06 IPS |
|
|
Style Transfer (I8)
|
100% |
1474
1.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
516
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
555
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
556
19.9 IPS |
|
|
Text Classification (F32)
|
100% |
259
371.6 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.3 IPS |
|
|
Text Classification (I8)
|
96% |
221
317.8 IPS |
|
|
Machine Translation (F32)
|
100% |
289
5.31 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.46 IPS |
|
|
Machine Translation (I8)
|
99% |
318
5.85 IPS |
