iPhone 8
Geekbench ML Score
629
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 02:23 PM |
| Views | 3 |
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% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
152
28.5 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2384
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
2883
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2869
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
312
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
274
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
985
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
913
10.9 IPS |
|
|
Face Detection (I8)
|
99% |
1059
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2495
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2737
21.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2860
22.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4655
6.12 IPS |
|
|
Style Transfer (F16)
|
100% |
4700
6.18 IPS |
|
|
Style Transfer (I8)
|
100% |
4531
5.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
930
33.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1054
37.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1089
38.9 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.4 IPS |
|
|
Text Classification (F16)
|
100% |
200
286.8 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.4 IPS |
|
|
Machine Translation (F32)
|
100% |
295
5.43 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.08 IPS |
|
|
Machine Translation (I8)
|
99% |
284
5.22 IPS |
