iPhone 8
Geekbench ML Score
615
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 05:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
144
27.0 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2217
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
2587
3.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
2591
3.14 IPS |
|
|
Object Detection (F32)
|
100% |
309
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
278
20.7 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
948
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
959
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
941
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2327
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2220
17.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2326
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4372
5.75 IPS |
|
|
Style Transfer (F16)
|
100% |
4913
6.46 IPS |
|
|
Style Transfer (I8)
|
100% |
4976
6.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1225
43.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1077
38.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1022
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.5 IPS |
|
|
Text Classification (F16)
|
100% |
175
250.9 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.3 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
228
4.20 IPS |
|
|
Machine Translation (I8)
|
99% |
275
5.06 IPS |
