iPhone 8
Geekbench ML Score
607
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 08:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
185
34.6 IPS |
|
|
Image Classification (F16)
|
100% |
167
31.2 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2218
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
2583
3.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
2790
3.38 IPS |
|
|
Object Detection (F32)
|
100% |
274
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
269
20.1 IPS |
|
|
Object Detection (I8)
|
97% |
308
23.0 IPS |
|
|
Face Detection (F32)
|
100% |
999
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
942
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
974
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2335
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2501
19.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2382
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4156
5.47 IPS |
|
|
Style Transfer (F16)
|
100% |
5168
6.80 IPS |
|
|
Style Transfer (I8)
|
100% |
4671
6.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1021
36.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1164
41.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1059
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.5 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.7 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.9 IPS |
|
|
Machine Translation (F32)
|
100% |
268
4.94 IPS |
|
|
Machine Translation (F16)
|
100% |
159
2.93 IPS |
|
|
Machine Translation (I8)
|
99% |
201
3.70 IPS |
