iPhone 8
Geekbench ML Score
635
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 10:12 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% |
206
38.6 IPS |
|
|
Image Classification (F16)
|
100% |
158
29.5 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2382
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2876
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2863
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
234
17.4 IPS |
|
|
Object Detection (F16)
|
100% |
285
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
278
20.7 IPS |
|
|
Face Detection (F32)
|
100% |
992
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (I8)
|
99% |
993
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2487
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2842
22.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2846
22.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4548
5.98 IPS |
|
|
Style Transfer (F16)
|
100% |
4556
5.99 IPS |
|
|
Style Transfer (I8)
|
100% |
4965
6.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1156
41.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1097
39.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1225
43.7 IPS |
|
|
Text Classification (F32)
|
100% |
58
83.5 IPS |
|
|
Text Classification (F16)
|
100% |
177
254.7 IPS |
|
|
Text Classification (I8)
|
96% |
180
258.7 IPS |
|
|
Machine Translation (F32)
|
100% |
285
5.24 IPS |
|
|
Machine Translation (F16)
|
100% |
216
3.97 IPS |
|
|
Machine Translation (I8)
|
99% |
247
4.55 IPS |
