iPhone 8
Geekbench ML Score
614
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 10:53 PM |
| 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% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2368
2.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
2617
3.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2482
3.01 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
343
25.6 IPS |
|
|
Object Detection (I8)
|
97% |
349
26.1 IPS |
|
|
Face Detection (F32)
|
100% |
994
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
966
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
936
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2265
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2475
19.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2425
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4390
5.77 IPS |
|
|
Style Transfer (F16)
|
100% |
4804
6.32 IPS |
|
|
Style Transfer (I8)
|
100% |
4571
6.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
900
32.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1062
37.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1022
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
48
68.4 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.7 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
192
3.54 IPS |
|
|
Machine Translation (I8)
|
99% |
247
4.55 IPS |
