iPhone 8
Geekbench ML Score
621
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 11:01 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
175
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
150
28.0 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2327
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2644
3.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
2746
3.33 IPS |
|
|
Object Detection (F32)
|
100% |
275
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
264
19.7 IPS |
|
|
Object Detection (I8)
|
97% |
281
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
884
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
924
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
961
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2206
17.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2411
18.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2698
20.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4655
6.12 IPS |
|
|
Style Transfer (F16)
|
100% |
5323
7.00 IPS |
|
|
Style Transfer (I8)
|
100% |
4590
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1137
40.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1045
37.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1221
43.6 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.5 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.8 IPS |
|
|
Machine Translation (F32)
|
100% |
273
5.03 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.34 IPS |
