iPhone 8
Geekbench ML Score
320
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 26 2024 02:29 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% |
226
42.2 IPS |
|
|
Image Classification (F16)
|
100% |
204
38.1 IPS |
|
|
Image Classification (I8)
|
99% |
203
38.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
3.04 IPS |
|
|
Image Segmentation (I8)
|
100% |
190
3.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
863
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
858
1.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
847
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
189
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
97% |
189
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
356
4.24 IPS |
|
|
Face Detection (F16)
|
100% |
351
4.18 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
462
3.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
428
3.32 IPS |
|
|
Depth Estimation (I8)
|
99% |
425
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1138
1.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1041
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
1039
1.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
342
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
419
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
418
14.9 IPS |
|
|
Text Classification (F32)
|
100% |
151
217.7 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
214
3.94 IPS |
|
|
Machine Translation (F16)
|
100% |
120
2.21 IPS |
|
|
Machine Translation (I8)
|
99% |
154
2.83 IPS |
