iPhone 8
Geekbench ML Score
632
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2024 08:19 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% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2240
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
2677
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2609
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
292
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
345
25.7 IPS |
|
|
Object Detection (I8)
|
97% |
345
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
957
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
955
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2161
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2487
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2480
19.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4690
6.17 IPS |
|
|
Style Transfer (F16)
|
100% |
4791
6.30 IPS |
|
|
Style Transfer (I8)
|
100% |
4859
6.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1091
38.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1018
36.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1042
37.2 IPS |
|
|
Text Classification (F32)
|
100% |
55
79.0 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.9 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.1 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
236
4.33 IPS |
|
|
Machine Translation (I8)
|
99% |
294
5.41 IPS |
