iPhone 8
Geekbench ML Score
612
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 12:32 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% |
177
33.1 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2129
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
2474
3.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
2448
2.96 IPS |
|
|
Object Detection (F32)
|
100% |
296
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
283
21.2 IPS |
|
|
Object Detection (I8)
|
97% |
307
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
982
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
974
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2139
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2553
19.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2258
17.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4070
5.35 IPS |
|
|
Style Transfer (F16)
|
100% |
4778
6.28 IPS |
|
|
Style Transfer (I8)
|
100% |
4518
5.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1146
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1063
38.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1031
36.8 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.3 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.8 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.7 IPS |
|
|
Machine Translation (F32)
|
100% |
296
5.45 IPS |
|
|
Machine Translation (F16)
|
100% |
224
4.13 IPS |
|
|
Machine Translation (I8)
|
99% |
260
4.78 IPS |
