iPhone 8
Geekbench ML Score
618
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 12:05 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.7 |
| 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% |
216
40.3 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
150
28.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2284
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2575
3.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
2703
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
251
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
288
21.5 IPS |
|
|
Object Detection (I8)
|
97% |
273
20.4 IPS |
|
|
Face Detection (F32)
|
100% |
969
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
972
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1031
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2467
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2814
21.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2733
21.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4865
6.40 IPS |
|
|
Style Transfer (F16)
|
100% |
5192
6.83 IPS |
|
|
Style Transfer (I8)
|
100% |
4776
6.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1117
39.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1236
44.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1009
36.0 IPS |
|
|
Text Classification (F32)
|
100% |
58
83.3 IPS |
|
|
Text Classification (F16)
|
100% |
195
279.6 IPS |
|
|
Text Classification (I8)
|
96% |
186
266.8 IPS |
|
|
Machine Translation (F32)
|
100% |
281
5.17 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.75 IPS |
|
|
Machine Translation (I8)
|
99% |
136
2.50 IPS |
