iPhone 8
Geekbench ML Score
643
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 15 2025 06:28 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
180
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.6 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2327
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2758
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
2588
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
308
23.0 IPS |
|
|
Object Detection (F16)
|
100% |
339
25.3 IPS |
|
|
Object Detection (I8)
|
97% |
295
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
976
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
987
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
953
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2419
18.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2757
21.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2340
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4599
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
5524
7.27 IPS |
|
|
Style Transfer (I8)
|
100% |
5136
6.76 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1135
40.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1146
40.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1096
39.2 IPS |
|
|
Text Classification (F32)
|
100% |
52
75.1 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.7 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.2 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
311
5.71 IPS |
