iPhone 8
Geekbench ML Score
538
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 31 2024 12:21 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% |
182
34.1 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
160
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
189
3.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
1478
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
1644
1.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
1440
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
334
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
247
18.5 IPS |
|
|
Object Detection (I8)
|
97% |
328
24.5 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.4 IPS |
|
|
Face Detection (I8)
|
99% |
1053
12.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2197
17.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2259
17.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2294
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3376
4.44 IPS |
|
|
Style Transfer (F16)
|
100% |
4097
5.39 IPS |
|
|
Style Transfer (I8)
|
100% |
4334
5.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1110
39.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1173
41.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1045
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.2 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.5 IPS |
|
|
Machine Translation (F32)
|
100% |
204
3.75 IPS |
|
|
Machine Translation (F16)
|
100% |
112
2.06 IPS |
|
|
Machine Translation (I8)
|
99% |
86
1.57 IPS |
