iPhone 8
Geekbench ML Score
636
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 29 2025 01:38 PM |
| Views | 9 |
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% |
180
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
149
27.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2375
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2863
3.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
2549
3.09 IPS |
|
|
Object Detection (F32)
|
100% |
337
25.2 IPS |
|
|
Object Detection (F16)
|
100% |
314
23.5 IPS |
|
|
Object Detection (I8)
|
97% |
304
22.7 IPS |
|
|
Face Detection (F32)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
909
10.8 IPS |
|
|
Face Detection (I8)
|
99% |
963
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2572
19.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2951
22.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2961
23.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5395
7.10 IPS |
|
|
Style Transfer (F16)
|
100% |
5672
7.46 IPS |
|
|
Style Transfer (I8)
|
100% |
5950
7.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1012
36.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1001
35.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1232
44.0 IPS |
|
|
Text Classification (F32)
|
100% |
65
93.9 IPS |
|
|
Text Classification (F16)
|
100% |
174
249.5 IPS |
|
|
Text Classification (I8)
|
96% |
165
237.8 IPS |
|
|
Machine Translation (F32)
|
100% |
275
5.06 IPS |
|
|
Machine Translation (F16)
|
100% |
224
4.12 IPS |
|
|
Machine Translation (I8)
|
99% |
154
2.84 IPS |
