iPhone 8
Geekbench ML Score
616
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 24 2025 09:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.6 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2269
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2540
3.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
2503
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
288
21.5 IPS |
|
|
Object Detection (F16)
|
100% |
261
19.5 IPS |
|
|
Object Detection (I8)
|
97% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
949
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
955
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
957
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2169
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2495
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2437
18.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4598
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
4910
6.46 IPS |
|
|
Style Transfer (I8)
|
100% |
4882
6.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1252
44.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
926
33.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1022
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
47
67.4 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.7 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.7 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.57 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
293
5.40 IPS |
