iPhone 8
Geekbench ML Score
598
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 28 2024 07:58 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.7 |
| 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% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
144
27.0 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2125
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2490
3.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
2499
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
297
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
268
20.0 IPS |
|
|
Object Detection (I8)
|
97% |
357
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
937
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
968
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
912
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2243
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2431
18.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2288
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4385
5.77 IPS |
|
|
Style Transfer (F16)
|
100% |
4845
6.37 IPS |
|
|
Style Transfer (I8)
|
100% |
4608
6.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1009
36.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1091
39.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1199
42.8 IPS |
|
|
Text Classification (F32)
|
100% |
49
69.9 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.4 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.9 IPS |
|
|
Machine Translation (F32)
|
100% |
263
4.85 IPS |
|
|
Machine Translation (F16)
|
100% |
151
2.79 IPS |
|
|
Machine Translation (I8)
|
99% |
186
3.42 IPS |
