iPhone 8
Geekbench ML Score
614
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 10:16 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
183
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
140
26.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2254
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2777
3.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
2547
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
270
20.2 IPS |
|
|
Object Detection (F16)
|
100% |
244
18.2 IPS |
|
|
Object Detection (I8)
|
97% |
270
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
972
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
962
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
967
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2167
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2324
18.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2348
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4505
5.93 IPS |
|
|
Style Transfer (F16)
|
100% |
5166
6.80 IPS |
|
|
Style Transfer (I8)
|
100% |
4865
6.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1083
38.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1010
36.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1052
37.6 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.8 IPS |
|
|
Text Classification (F16)
|
100% |
193
277.5 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.3 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
297
5.46 IPS |
