iPhone 8
Geekbench ML Score
631
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 04 2024 02:58 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% |
183
34.2 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2360
2.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
2671
3.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
2585
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
284
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
274
20.4 IPS |
|
|
Object Detection (I8)
|
97% |
263
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
1022
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (I8)
|
99% |
934
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2502
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2822
21.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2766
21.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4486
5.90 IPS |
|
|
Style Transfer (F16)
|
100% |
4598
6.05 IPS |
|
|
Style Transfer (I8)
|
100% |
5014
6.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1121
40.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1073
38.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1058
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.9 IPS |
|
|
Text Classification (F16)
|
100% |
196
282.2 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.7 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.29 IPS |
|
|
Machine Translation (I8)
|
99% |
293
5.39 IPS |
