iPhone 8
Geekbench ML Score
628
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 06:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
187
34.9 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% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2267
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2568
3.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
2547
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
320
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
318
23.7 IPS |
|
|
Object Detection (I8)
|
97% |
345
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
968
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
999
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
942
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2243
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2550
19.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2332
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4602
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
4872
6.41 IPS |
|
|
Style Transfer (I8)
|
100% |
5060
6.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1139
40.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
891
31.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1260
45.0 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
204
293.1 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.2 IPS |
|
|
Machine Translation (F32)
|
100% |
280
5.15 IPS |
|
|
Machine Translation (F16)
|
100% |
214
3.95 IPS |
|
|
Machine Translation (I8)
|
99% |
265
4.87 IPS |
