iPhone 8
Geekbench ML Score
616
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 07:19 AM |
| Views | 6 |
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% |
177
33.1 IPS |
|
|
Image Classification (F16)
|
100% |
151
28.3 IPS |
|
|
Image Classification (I8)
|
99% |
153
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2384
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
2690
3.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
2643
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
281
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
309
23.1 IPS |
|
|
Object Detection (I8)
|
97% |
277
20.7 IPS |
|
|
Face Detection (F32)
|
100% |
926
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
974
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
876
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2225
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2597
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2369
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4152
5.46 IPS |
|
|
Style Transfer (F16)
|
100% |
4769
6.27 IPS |
|
|
Style Transfer (I8)
|
100% |
4707
6.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1106
39.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
906
32.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1186
42.3 IPS |
|
|
Text Classification (F32)
|
100% |
48
68.7 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.6 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.0 IPS |
|
|
Machine Translation (F32)
|
100% |
276
5.08 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.14 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.37 IPS |
