iPhone 8
Geekbench ML Score
629
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 02:37 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% |
183
34.2 IPS |
|
|
Image Classification (F16)
|
100% |
150
28.0 IPS |
|
|
Image Classification (I8)
|
99% |
144
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2308
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2588
3.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
2500
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
347
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
310
23.2 IPS |
|
|
Object Detection (I8)
|
97% |
282
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
911
10.8 IPS |
|
|
Face Detection (I8)
|
99% |
933
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2402
18.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2377
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2776
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4665
6.14 IPS |
|
|
Style Transfer (F16)
|
100% |
5008
6.59 IPS |
|
|
Style Transfer (I8)
|
100% |
4574
6.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
923
33.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1229
43.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1045
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
47
68.2 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.0 IPS |
|
|
Machine Translation (F32)
|
100% |
311
5.73 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.33 IPS |
