iPhone 8
Geekbench ML Score
613
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 04 2024 02:56 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% |
179
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
139
26.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2232
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
2565
3.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
2534
3.07 IPS |
|
|
Object Detection (F32)
|
100% |
274
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
279
20.8 IPS |
|
|
Object Detection (I8)
|
97% |
363
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
906
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
940
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
1000
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2079
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2291
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2638
20.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4190
5.51 IPS |
|
|
Style Transfer (F16)
|
100% |
4724
6.21 IPS |
|
|
Style Transfer (I8)
|
100% |
4724
6.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
929
33.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1143
40.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1018
36.4 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.2 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.6 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.4 IPS |
|
|
Machine Translation (F32)
|
100% |
280
5.15 IPS |
|
|
Machine Translation (F16)
|
100% |
234
4.30 IPS |
|
|
Machine Translation (I8)
|
99% |
300
5.51 IPS |
