iPhone 8
Geekbench ML Score
625
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 10:32 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% |
186
34.8 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2338
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2762
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
2647
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
312
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
281
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
328
24.5 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
857
10.2 IPS |
|
|
Face Detection (I8)
|
99% |
991
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2349
18.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2400
18.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2746
21.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4380
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
4350
5.72 IPS |
|
|
Style Transfer (I8)
|
100% |
4466
5.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1175
42.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1114
39.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1131
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
50
72.4 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.8 IPS |
|
|
Text Classification (I8)
|
96% |
196
281.6 IPS |
|
|
Machine Translation (F32)
|
100% |
282
5.19 IPS |
|
|
Machine Translation (F16)
|
100% |
223
4.10 IPS |
|
|
Machine Translation (I8)
|
99% |
282
5.19 IPS |
