iPhone 8
Geekbench ML Score
631
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 03:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.43 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
2297
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2652
3.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
2565
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
289
21.5 IPS |
|
|
Object Detection (F16)
|
100% |
339
25.3 IPS |
|
|
Object Detection (I8)
|
97% |
326
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
963
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
944
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
1028
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2123
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2591
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2373
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4228
5.56 IPS |
|
|
Style Transfer (F16)
|
100% |
4991
6.57 IPS |
|
|
Style Transfer (I8)
|
100% |
4739
6.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1165
41.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1029
36.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1025
36.6 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.7 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.9 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.1 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |
