iPhone 8
Geekbench ML Score
621
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 12:28 AM |
| 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% |
179
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 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% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2235
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
2645
3.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
2533
3.07 IPS |
|
|
Object Detection (F32)
|
100% |
344
25.7 IPS |
|
|
Object Detection (F16)
|
100% |
335
25.0 IPS |
|
|
Object Detection (I8)
|
97% |
340
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
886
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
937
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2122
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2375
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2384
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4267
5.61 IPS |
|
|
Style Transfer (F16)
|
100% |
4705
6.19 IPS |
|
|
Style Transfer (I8)
|
100% |
4748
6.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
903
32.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1027
36.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1027
36.7 IPS |
|
|
Text Classification (F32)
|
100% |
49
71.0 IPS |
|
|
Text Classification (F16)
|
100% |
200
286.9 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.7 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
288
5.30 IPS |
