iPhone 8
Geekbench ML Score
386
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 14 2024 08:08 PM |
| Views | 1 |
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% |
230
43.0 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.7 IPS |
|
|
Image Classification (I8)
|
99% |
208
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
196
3.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
941
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
906
1.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
880
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.8 IPS |
|
|
Object Detection (I8)
|
97% |
233
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
446
5.31 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.20 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
522
4.05 IPS |
|
|
Depth Estimation (I8)
|
99% |
521
4.04 IPS |
|
|
Style Transfer (F32)
|
100% |
1445
1.90 IPS |
|
|
Style Transfer (F16)
|
100% |
1405
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1399
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
509
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
509
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.9 IPS |
|
|
Text Classification (F16)
|
100% |
213
305.6 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.3 IPS |
|
|
Machine Translation (F32)
|
100% |
299
5.51 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.28 IPS |
|
|
Machine Translation (I8)
|
99% |
289
5.32 IPS |
