iPhone 8
Geekbench ML Score
612
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 07:33 PM |
| Views | 4 |
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% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
144
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2257
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2595
3.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
2538
3.07 IPS |
|
|
Object Detection (F32)
|
100% |
257
19.2 IPS |
|
|
Object Detection (F16)
|
100% |
308
23.0 IPS |
|
|
Object Detection (I8)
|
97% |
272
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
918
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
969
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
993
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2200
17.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2382
18.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2462
19.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4403
5.79 IPS |
|
|
Style Transfer (F16)
|
100% |
4583
6.03 IPS |
|
|
Style Transfer (I8)
|
100% |
4582
6.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
915
32.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1137
40.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1046
37.4 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.5 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.8 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.1 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.71 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.33 IPS |
|
|
Machine Translation (I8)
|
99% |
283
5.20 IPS |
