iPhone 8
Geekbench ML Score
638
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 10:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
206
38.5 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.3 IPS |
|
|
Image Classification (I8)
|
99% |
159
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2389
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
2879
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2900
3.51 IPS |
|
|
Object Detection (F32)
|
100% |
292
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
248
18.5 IPS |
|
|
Object Detection (I8)
|
97% |
388
29.0 IPS |
|
|
Face Detection (F32)
|
100% |
915
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
981
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
941
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2274
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2546
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2446
19.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4456
5.86 IPS |
|
|
Style Transfer (F16)
|
100% |
4838
6.36 IPS |
|
|
Style Transfer (I8)
|
100% |
4593
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1301
46.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1217
43.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1130
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.2 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.2 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.2 IPS |
|
|
Machine Translation (F32)
|
100% |
286
5.27 IPS |
|
|
Machine Translation (F16)
|
100% |
219
4.03 IPS |
|
|
Machine Translation (I8)
|
99% |
272
5.00 IPS |
