iPhone 8
Geekbench ML Score
640
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 10:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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% |
179
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.8 IPS |
|
|
Image Classification (I8)
|
99% |
158
29.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
196
3.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
2354
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2839
3.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
2825
3.42 IPS |
|
|
Object Detection (F32)
|
100% |
331
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
329
24.5 IPS |
|
|
Object Detection (I8)
|
97% |
287
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
933
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
961
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
971
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2531
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2738
21.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2903
22.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4721
6.21 IPS |
|
|
Style Transfer (F16)
|
100% |
5255
6.91 IPS |
|
|
Style Transfer (I8)
|
100% |
5234
6.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1153
41.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1092
39.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1047
37.4 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.8 IPS |
|
|
Text Classification (F16)
|
100% |
193
276.9 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.4 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.09 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.75 IPS |
|
|
Machine Translation (I8)
|
99% |
257
4.73 IPS |
