iPhone 8
Geekbench ML Score
626
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 10:16 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
179
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
144
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2262
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
2724
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2564
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
357
26.6 IPS |
|
|
Object Detection (F16)
|
100% |
314
23.4 IPS |
|
|
Object Detection (I8)
|
97% |
315
23.5 IPS |
|
|
Face Detection (F32)
|
100% |
917
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
902
10.7 IPS |
|
|
Face Detection (I8)
|
99% |
910
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2125
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2302
17.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2330
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4635
6.10 IPS |
|
|
Style Transfer (F16)
|
100% |
4976
6.55 IPS |
|
|
Style Transfer (I8)
|
100% |
4881
6.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
905
32.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1264
45.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1137
40.6 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.7 IPS |
|
|
Text Classification (I8)
|
96% |
201
289.0 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.59 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
294
5.41 IPS |
