iPhone 8
Geekbench ML Score
267
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 12:40 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% |
218
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
120
22.5 IPS |
|
|
Image Classification (I8)
|
99% |
118
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
115
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
140
2.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
709
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
672
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
623
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
126
9.44 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.81 IPS |
|
|
Object Detection (I8)
|
97% |
147
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
310
3.69 IPS |
|
|
Face Detection (F16)
|
100% |
355
4.22 IPS |
|
|
Face Detection (I8)
|
99% |
357
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
466
3.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
342
2.66 IPS |
|
|
Depth Estimation (I8)
|
99% |
336
2.61 IPS |
|
|
Style Transfer (F32)
|
100% |
1025
1.35 IPS |
|
|
Style Transfer (F16)
|
100% |
903
1.19 IPS |
|
|
Style Transfer (I8)
|
100% |
742
0.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
279
9.95 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
316
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
111
159.6 IPS |
|
|
Text Classification (F16)
|
100% |
153
219.3 IPS |
|
|
Text Classification (I8)
|
96% |
143
205.7 IPS |
|
|
Machine Translation (F32)
|
100% |
255
4.69 IPS |
|
|
Machine Translation (F16)
|
100% |
199
3.66 IPS |
|
|
Machine Translation (I8)
|
99% |
255
4.70 IPS |
