iPhone 8 Plus
Geekbench ML Score
626
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 20 2024 03:22 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% |
174
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2288
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2596
3.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
2636
3.19 IPS |
|
|
Object Detection (F32)
|
100% |
306
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
253
18.9 IPS |
|
|
Object Detection (I8)
|
97% |
344
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
994
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
926
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
942
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2430
18.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2359
18.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2381
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4601
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
5048
6.64 IPS |
|
|
Style Transfer (I8)
|
100% |
5629
7.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
978
34.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1090
38.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1044
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
51
72.7 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.3 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (I8)
|
99% |
282
5.18 IPS |
