iPhone 8
Geekbench ML Score
620
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2024 08:04 PM |
| 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% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.5 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2246
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2569
3.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
2651
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
297
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
266
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
302
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
935
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
990
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
969
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2303
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2344
18.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2541
19.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4825
6.35 IPS |
|
|
Style Transfer (F16)
|
100% |
5155
6.78 IPS |
|
|
Style Transfer (I8)
|
100% |
4710
6.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
962
34.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1128
40.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1024
36.6 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.2 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.4 IPS |
|
|
Text Classification (I8)
|
96% |
201
289.4 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.83 IPS |
|
|
Machine Translation (F16)
|
100% |
224
4.12 IPS |
|
|
Machine Translation (I8)
|
99% |
282
5.18 IPS |
