iPhone 8
Geekbench ML Score
637
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:55 PM |
| 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% |
181
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
148
27.7 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2317
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2728
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2635
3.19 IPS |
|
|
Object Detection (F32)
|
100% |
267
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
313
23.4 IPS |
|
|
Object Detection (I8)
|
97% |
321
23.9 IPS |
|
|
Face Detection (F32)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
989
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
1009
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2390
18.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2667
20.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2466
19.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4452
5.86 IPS |
|
|
Style Transfer (F16)
|
100% |
4862
6.40 IPS |
|
|
Style Transfer (I8)
|
100% |
5066
6.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
987
35.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1105
39.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1223
43.7 IPS |
|
|
Text Classification (F32)
|
100% |
50
72.3 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.8 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.0 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
303
5.58 IPS |
