iPhone 8
Geekbench ML Score
396
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 07 2025 03:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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
44.8 IPS |
|
|
Image Classification (F16)
|
100% |
222
41.6 IPS |
|
|
Image Classification (I8)
|
99% |
218
40.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
176
2.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
910
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
873
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
880
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
189
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
442
5.26 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.19 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
575
4.46 IPS |
|
|
Depth Estimation (F16)
|
100% |
523
4.05 IPS |
|
|
Depth Estimation (I8)
|
99% |
523
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1490
1.96 IPS |
|
|
Style Transfer (F16)
|
100% |
1408
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1406
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
513
18.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
551
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.7 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.4 IPS |
|
|
Text Classification (I8)
|
96% |
225
322.7 IPS |
|
|
Machine Translation (F32)
|
100% |
309
5.68 IPS |
|
|
Machine Translation (F16)
|
100% |
267
4.91 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |
