iPhone 8
Geekbench ML Score
377
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 25 2024 01:21 AM |
| Views | 2 |
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% |
233
43.6 IPS |
|
|
Image Classification (F16)
|
100% |
213
39.8 IPS |
|
|
Image Classification (I8)
|
99% |
210
39.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
194
3.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
148
2.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
876
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
822
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
733
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
176
13.1 IPS |
|
|
Object Detection (I8)
|
97% |
205
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
438
5.21 IPS |
|
|
Face Detection (F16)
|
100% |
441
5.24 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
525
4.07 IPS |
|
|
Depth Estimation (I8)
|
99% |
523
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1487
1.96 IPS |
|
|
Style Transfer (F16)
|
100% |
1408
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1404
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
513
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
219
315.1 IPS |
|
|
Text Classification (F16)
|
100% |
219
314.2 IPS |
|
|
Text Classification (I8)
|
96% |
207
297.9 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.75 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.32 IPS |
|
|
Machine Translation (I8)
|
99% |
296
5.44 IPS |
