iPhone 8
Geekbench ML Score
619
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 10:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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% |
185
34.7 IPS |
|
|
Image Classification (F16)
|
100% |
148
27.6 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
196
3.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
2320
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2708
3.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
2618
3.17 IPS |
|
|
Object Detection (F32)
|
100% |
284
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
254
19.0 IPS |
|
|
Object Detection (I8)
|
97% |
281
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
852
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
926
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
956
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2343
18.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2446
19.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2550
19.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4383
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
4821
6.34 IPS |
|
|
Style Transfer (I8)
|
100% |
4493
5.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1197
42.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1295
46.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1152
41.1 IPS |
|
|
Text Classification (F32)
|
100% |
53
75.5 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.5 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.4 IPS |
|
|
Machine Translation (F32)
|
100% |
286
5.26 IPS |
|
|
Machine Translation (F16)
|
100% |
206
3.79 IPS |
|
|
Machine Translation (I8)
|
99% |
280
5.14 IPS |
