iPhone 8
Geekbench ML Score
615
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
141
26.3 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 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% |
2375
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2620
3.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2571
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
287
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
290
21.7 IPS |
|
|
Object Detection (I8)
|
97% |
280
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
975
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
880
10.5 IPS |
|
|
Face Detection (I8)
|
99% |
1058
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2261
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2467
19.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2368
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4668
6.14 IPS |
|
|
Style Transfer (F16)
|
100% |
5019
6.60 IPS |
|
|
Style Transfer (I8)
|
100% |
4835
6.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
900
32.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
981
35.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1034
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.4 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.4 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.3 IPS |
|
|
Machine Translation (F32)
|
100% |
280
5.15 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.14 IPS |
|
|
Machine Translation (I8)
|
99% |
295
5.43 IPS |
