iPhone 8
Geekbench ML Score
377
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
216
40.5 IPS |
|
|
Image Classification (F16)
|
100% |
198
37.0 IPS |
|
|
Image Classification (I8)
|
99% |
195
36.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
187
3.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
874
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
887
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
882
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
228
17.1 IPS |
|
|
Object Detection (F16)
|
100% |
222
16.6 IPS |
|
|
Object Detection (I8)
|
97% |
238
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
451
5.36 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.19 IPS |
|
|
Face Detection (I8)
|
99% |
434
5.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
572
4.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
514
3.98 IPS |
|
|
Depth Estimation (I8)
|
99% |
519
4.02 IPS |
|
|
Style Transfer (F32)
|
100% |
1218
1.60 IPS |
|
|
Style Transfer (F16)
|
100% |
1379
1.81 IPS |
|
|
Style Transfer (I8)
|
100% |
1392
1.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
506
18.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
505
18.0 IPS |
|
|
Text Classification (F32)
|
100% |
215
309.2 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.7 IPS |
|
|
Text Classification (I8)
|
96% |
219
315.1 IPS |
|
|
Machine Translation (F32)
|
100% |
270
4.97 IPS |
|
|
Machine Translation (F16)
|
100% |
207
3.81 IPS |
|
|
Machine Translation (I8)
|
99% |
241
4.44 IPS |
