iPhone 8
Geekbench ML Score
633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:40 AM |
| 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% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
144
27.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
206
3.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
2304
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2577
3.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
2747
3.33 IPS |
|
|
Object Detection (F32)
|
100% |
366
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
331
24.7 IPS |
|
|
Object Detection (I8)
|
97% |
292
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
990
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
913
10.9 IPS |
|
|
Face Detection (I8)
|
99% |
982
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2508
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2421
18.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2647
20.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4245
5.58 IPS |
|
|
Style Transfer (F16)
|
100% |
4614
6.07 IPS |
|
|
Style Transfer (I8)
|
100% |
4792
6.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
913
32.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1316
47.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1015
36.3 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.1 IPS |
|
|
Text Classification (I8)
|
96% |
202
289.7 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.71 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.37 IPS |
|
|
Machine Translation (I8)
|
99% |
299
5.51 IPS |
