iPhone 8
Geekbench ML Score
625
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2024 11:19 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% |
180
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
140
26.2 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
2287
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2545
3.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
2566
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
310
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
278
20.8 IPS |
|
|
Object Detection (I8)
|
97% |
257
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
974
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
977
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
923
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2119
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2512
19.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2396
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4474
5.89 IPS |
|
|
Style Transfer (F16)
|
100% |
5031
6.62 IPS |
|
|
Style Transfer (I8)
|
100% |
5030
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1287
46.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1084
38.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1062
37.9 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.6 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.7 IPS |
|
|
Text Classification (I8)
|
96% |
204
293.7 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.83 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.44 IPS |
|
|
Machine Translation (I8)
|
99% |
301
5.54 IPS |
