iPhone 8
Geekbench ML Score
626
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 18 2026 11:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
185
34.6 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.0 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2277
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2629
3.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
2641
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
314
23.5 IPS |
|
|
Object Detection (I8)
|
97% |
334
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
996
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
958
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
962
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2140
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2512
19.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2458
19.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4117
5.42 IPS |
|
|
Style Transfer (F16)
|
100% |
4805
6.32 IPS |
|
|
Style Transfer (I8)
|
100% |
4974
6.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
935
33.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1057
37.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1087
38.8 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.7 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.0 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.9 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.71 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.66 IPS |
