iPhone 8
Geekbench ML Score
610
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 23 2025 07:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
178
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2248
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2582
3.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
2531
3.07 IPS |
|
|
Object Detection (F32)
|
100% |
320
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
289
21.6 IPS |
|
|
Object Detection (I8)
|
97% |
308
23.0 IPS |
|
|
Face Detection (F32)
|
100% |
943
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
925
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
959
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2163
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2584
20.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2382
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4605
6.06 IPS |
|
|
Style Transfer (F16)
|
100% |
5099
6.71 IPS |
|
|
Style Transfer (I8)
|
100% |
4607
6.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1162
41.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1270
45.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1016
36.3 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.3 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.1 IPS |
|
|
Machine Translation (F32)
|
100% |
289
5.33 IPS |
|
|
Machine Translation (F16)
|
100% |
163
3.00 IPS |
|
|
Machine Translation (I8)
|
99% |
195
3.59 IPS |
