iPhone 8
Geekbench ML Score
308
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 22 2024 01:21 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% |
156
29.2 IPS |
|
|
Image Classification (I8)
|
99% |
155
29.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
2.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
141
2.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
141
2.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
887
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
674
0.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
664
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
127
9.46 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.82 IPS |
|
|
Object Detection (I8)
|
97% |
146
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
347
4.12 IPS |
|
|
Face Detection (F16)
|
100% |
358
4.25 IPS |
|
|
Face Detection (I8)
|
99% |
357
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
493
3.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
429
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
428
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1190
1.57 IPS |
|
|
Style Transfer (F16)
|
100% |
1053
1.38 IPS |
|
|
Style Transfer (I8)
|
100% |
1052
1.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
336
12.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
422
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
155
222.3 IPS |
|
|
Text Classification (F16)
|
100% |
204
292.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.8 IPS |
|
|
Machine Translation (F32)
|
100% |
274
5.05 IPS |
|
|
Machine Translation (F16)
|
100% |
219
4.04 IPS |
|
|
Machine Translation (I8)
|
99% |
268
4.93 IPS |
