iPhone 8 Plus
Geekbench ML Score
639
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | decimuschan |
| Upload Date | August 22 2024 06:12 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2255
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2746
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2524
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
347
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
346
25.8 IPS |
|
|
Object Detection (I8)
|
97% |
303
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
932
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
964
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
985
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2509
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2794
21.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2335
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4715
6.20 IPS |
|
|
Style Transfer (F16)
|
100% |
4924
6.48 IPS |
|
|
Style Transfer (I8)
|
100% |
4921
6.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1125
40.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
997
35.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1148
41.0 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.6 IPS |
|
|
Text Classification (I8)
|
96% |
197
282.5 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
|
Machine Translation (F16)
|
100% |
246
4.52 IPS |
|
|
Machine Translation (I8)
|
99% |
296
5.45 IPS |
