iPhone 8
Geekbench ML Score
288
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 01 2024 08:28 PM |
| 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% |
224
41.9 IPS |
|
|
Image Classification (F16)
|
100% |
192
36.0 IPS |
|
|
Image Classification (I8)
|
99% |
187
34.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
166
2.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
156
2.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
895
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
670
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
485
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
90
6.68 IPS |
|
|
Object Detection (F16)
|
100% |
116
8.66 IPS |
|
|
Object Detection (I8)
|
97% |
127
9.51 IPS |
|
|
Face Detection (F32)
|
100% |
283
3.37 IPS |
|
|
Face Detection (F16)
|
100% |
313
3.72 IPS |
|
|
Face Detection (I8)
|
99% |
356
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
428
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1111
1.46 IPS |
|
|
Style Transfer (F16)
|
100% |
1048
1.38 IPS |
|
|
Style Transfer (I8)
|
100% |
1011
1.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
318
11.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
327
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
155
222.9 IPS |
|
|
Text Classification (F16)
|
100% |
154
221.1 IPS |
|
|
Text Classification (I8)
|
96% |
154
221.4 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.71 IPS |
|
|
Machine Translation (F16)
|
100% |
199
3.66 IPS |
|
|
Machine Translation (I8)
|
99% |
246
4.53 IPS |
