iPhone 8
Geekbench ML Score
401
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 03 2024 02:18 AM |
| 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% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.0 IPS |
|
|
Image Classification (I8)
|
99% |
211
39.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
195
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
951
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
928
1.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
933
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
248
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
233
17.4 IPS |
|
|
Object Detection (I8)
|
97% |
253
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
470
5.59 IPS |
|
|
Face Detection (I8)
|
99% |
442
5.25 IPS |
|
|
Depth Estimation (F32)
|
100% |
575
4.46 IPS |
|
|
Depth Estimation (F16)
|
100% |
525
4.07 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1503
1.98 IPS |
|
|
Style Transfer (F16)
|
100% |
1412
1.86 IPS |
|
|
Style Transfer (I8)
|
100% |
1415
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
532
19.0 IPS |
|
|
Text Classification (F32)
|
100% |
233
334.4 IPS |
|
|
Text Classification (F16)
|
100% |
214
306.9 IPS |
|
|
Text Classification (I8)
|
96% |
216
311.0 IPS |
|
|
Machine Translation (F32)
|
100% |
316
5.81 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
291
5.35 IPS |
