iPhone 8
Geekbench ML Score
619
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 09:28 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% |
215
40.2 IPS |
|
|
Image Classification (F16)
|
100% |
170
31.9 IPS |
|
|
Image Classification (I8)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2297
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2701
3.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
2608
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
335
25.0 IPS |
|
|
Object Detection (F16)
|
100% |
311
23.2 IPS |
|
|
Object Detection (I8)
|
97% |
350
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
981
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
1045
12.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2593
20.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2926
22.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2872
22.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5416
7.12 IPS |
|
|
Style Transfer (F16)
|
100% |
5102
6.71 IPS |
|
|
Style Transfer (I8)
|
100% |
4790
6.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1091
39.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1078
38.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1126
40.2 IPS |
|
|
Text Classification (F32)
|
100% |
66
94.8 IPS |
|
|
Text Classification (F16)
|
100% |
179
257.6 IPS |
|
|
Text Classification (I8)
|
96% |
159
228.6 IPS |
|
|
Machine Translation (F32)
|
100% |
180
3.31 IPS |
|
|
Machine Translation (F16)
|
100% |
104
1.92 IPS |
|
|
Machine Translation (I8)
|
99% |
163
2.99 IPS |
