iPhone 8 Plus
Geekbench ML Score
656
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 26 2024 08:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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% |
196
36.6 IPS |
|
|
Image Classification (F16)
|
100% |
160
29.9 IPS |
|
|
Image Classification (I8)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2336
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2872
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2824
3.42 IPS |
|
|
Object Detection (F32)
|
100% |
319
23.8 IPS |
|
|
Object Detection (F16)
|
100% |
275
20.5 IPS |
|
|
Object Detection (I8)
|
97% |
295
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
994
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
994
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
936
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2601
20.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2843
22.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2881
22.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5321
7.00 IPS |
|
|
Style Transfer (F16)
|
100% |
5339
7.02 IPS |
|
|
Style Transfer (I8)
|
100% |
5574
7.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1111
39.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1208
43.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1038
37.1 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.4 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.9 IPS |
|
|
Text Classification (I8)
|
96% |
194
279.5 IPS |
|
|
Machine Translation (F32)
|
100% |
307
5.65 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.32 IPS |
|
|
Machine Translation (I8)
|
99% |
311
5.73 IPS |
