iPhone 8
Geekbench ML Score
296
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 23 2024 11:06 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% |
221
41.4 IPS |
|
|
Image Classification (F16)
|
100% |
164
30.7 IPS |
|
|
Image Classification (I8)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
148
2.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
170
2.83 IPS |
|
|
Image Segmentation (I8)
|
100% |
140
2.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
882
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
677
0.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
669
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.80 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
363
4.32 IPS |
|
|
Face Detection (F16)
|
100% |
347
4.13 IPS |
|
|
Face Detection (I8)
|
99% |
356
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.34 IPS |
|
|
Depth Estimation (I8)
|
99% |
429
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1034
1.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1044
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
920
1.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
277
9.91 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
317
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
154
221.5 IPS |
|
|
Text Classification (F16)
|
100% |
153
219.3 IPS |
|
|
Text Classification (I8)
|
96% |
152
218.2 IPS |
|
|
Machine Translation (F32)
|
100% |
255
4.70 IPS |
|
|
Machine Translation (F16)
|
100% |
198
3.64 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.70 IPS |
