iPhone 8
Geekbench ML Score
585
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 08:04 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
210
39.3 IPS |
|
|
Image Classification (F16)
|
100% |
161
30.2 IPS |
|
|
Image Classification (I8)
|
99% |
185
34.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
143
2.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
164
2.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
171
2.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
1877
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2205
2.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
2292
2.78 IPS |
|
|
Object Detection (F32)
|
100% |
319
23.8 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.4 IPS |
|
|
Object Detection (I8)
|
97% |
270
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
974
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (I8)
|
99% |
1004
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2421
18.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2680
20.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2693
20.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4579
6.02 IPS |
|
|
Style Transfer (F16)
|
100% |
4956
6.52 IPS |
|
|
Style Transfer (I8)
|
100% |
4584
6.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1144
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1175
42.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1010
36.1 IPS |
|
|
Text Classification (F32)
|
100% |
60
86.8 IPS |
|
|
Text Classification (F16)
|
100% |
160
229.7 IPS |
|
|
Text Classification (I8)
|
96% |
158
227.2 IPS |
|
|
Machine Translation (F32)
|
100% |
170
3.13 IPS |
|
|
Machine Translation (F16)
|
100% |
147
2.71 IPS |
|
|
Machine Translation (I8)
|
99% |
194
3.57 IPS |
