iPhone 8
Geekbench ML Score
607
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:17 PM |
| Views | 6 |
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% |
184
34.5 IPS |
|
|
Image Classification (F16)
|
100% |
154
28.9 IPS |
|
|
Image Classification (I8)
|
99% |
144
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2217
2.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
2577
3.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
2498
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
294
21.9 IPS |
|
|
Object Detection (F16)
|
100% |
314
23.5 IPS |
|
|
Object Detection (I8)
|
97% |
296
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
957
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
999
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
975
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2133
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2320
18.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2417
18.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4352
5.72 IPS |
|
|
Style Transfer (F16)
|
100% |
4899
6.44 IPS |
|
|
Style Transfer (I8)
|
100% |
4925
6.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
973
34.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
991
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1032
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.4 IPS |
|
|
Text Classification (F16)
|
100% |
204
293.1 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.7 IPS |
|
|
Machine Translation (F32)
|
100% |
289
5.31 IPS |
|
|
Machine Translation (F16)
|
100% |
182
3.36 IPS |
|
|
Machine Translation (I8)
|
99% |
228
4.20 IPS |
