iPhone 8
Geekbench ML Score
614
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 04 2024 03:01 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% |
184
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.5 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2266
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
2578
3.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
2488
3.01 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
269
20.1 IPS |
|
|
Object Detection (I8)
|
97% |
284
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
951
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
936
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2116
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2341
18.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2285
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4365
5.74 IPS |
|
|
Style Transfer (F16)
|
100% |
4686
6.16 IPS |
|
|
Style Transfer (I8)
|
100% |
4875
6.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
978
34.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1039
37.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1250
44.6 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.4 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.7 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.9 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.39 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.37 IPS |
