iPhone 8
Geekbench ML Score
619
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 01 2024 08:15 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% |
181
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.1 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.5 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% |
2215
2.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
2512
3.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
2377
2.88 IPS |
|
|
Object Detection (F32)
|
100% |
303
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
331
24.7 IPS |
|
|
Object Detection (I8)
|
97% |
313
23.4 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
985
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2174
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2299
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2302
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4376
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
5002
6.58 IPS |
|
|
Style Transfer (I8)
|
100% |
4831
6.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
911
32.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1113
39.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1191
42.5 IPS |
|
|
Text Classification (F32)
|
100% |
48
68.9 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.74 IPS |
|
|
Machine Translation (F16)
|
100% |
226
4.16 IPS |
|
|
Machine Translation (I8)
|
99% |
264
4.86 IPS |
