iPhone 8
Geekbench ML Score
607
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 06 2025 02:39 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
220
41.2 IPS |
|
|
Image Classification (F16)
|
100% |
177
33.1 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1931
2.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
2357
2.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
2252
2.73 IPS |
|
|
Object Detection (F32)
|
100% |
329
24.5 IPS |
|
|
Object Detection (F16)
|
100% |
314
23.4 IPS |
|
|
Object Detection (I8)
|
97% |
281
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
997
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
1020
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2041
15.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2448
19.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2325
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4179
5.50 IPS |
|
|
Style Transfer (F16)
|
100% |
4543
5.98 IPS |
|
|
Style Transfer (I8)
|
100% |
4702
6.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1022
36.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1116
39.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1006
35.9 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.6 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.4 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.29 IPS |
|
|
Machine Translation (F16)
|
100% |
202
3.71 IPS |
|
|
Machine Translation (I8)
|
99% |
183
3.37 IPS |
