iPhone 8
Geekbench ML Score
341
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 12 2024 10:17 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% |
226
42.4 IPS |
|
|
Image Classification (F16)
|
100% |
192
36.0 IPS |
|
|
Image Classification (I8)
|
99% |
194
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
178
2.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (I8)
|
100% |
181
3.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
888
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
878
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
752
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
186
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
173
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
188
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
364
4.33 IPS |
|
|
Face Detection (F16)
|
100% |
357
4.24 IPS |
|
|
Face Detection (I8)
|
99% |
356
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
464
3.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
433
3.35 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1171
1.54 IPS |
|
|
Style Transfer (F16)
|
100% |
1067
1.40 IPS |
|
|
Style Transfer (I8)
|
100% |
1049
1.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
420
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.1 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.8 IPS |
|
|
Text Classification (I8)
|
96% |
202
289.8 IPS |
|
|
Machine Translation (F32)
|
100% |
296
5.46 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.15 IPS |
|
|
Machine Translation (I8)
|
99% |
262
4.82 IPS |
