iPhone 8 Plus
Geekbench ML Score
648
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:28 AM |
| Views | 1 |
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% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
152
28.5 IPS |
|
|
Image Classification (I8)
|
99% |
154
28.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2378
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2881
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2864
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
312
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
281
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
308
23.0 IPS |
|
|
Face Detection (F32)
|
100% |
985
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
997
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
1057
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2493
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2707
21.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2749
21.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4927
6.48 IPS |
|
|
Style Transfer (F16)
|
100% |
5063
6.66 IPS |
|
|
Style Transfer (I8)
|
100% |
4754
6.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1016
36.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1093
39.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1023
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
64
91.4 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.9 IPS |
|
|
Text Classification (I8)
|
96% |
187
268.6 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.60 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (I8)
|
99% |
303
5.58 IPS |
