iPhone 8
Geekbench ML Score
628
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 12:04 AM |
| Views | 7 |
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% |
202
37.9 IPS |
|
|
Image Classification (F16)
|
100% |
154
28.9 IPS |
|
|
Image Classification (I8)
|
99% |
154
28.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
205
3.43 IPS |
|
|
Image Segmentation (I8)
|
100% |
206
3.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
2364
2.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
2879
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2821
3.42 IPS |
|
|
Object Detection (F32)
|
100% |
260
19.4 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
97% |
315
23.5 IPS |
|
|
Face Detection (F32)
|
100% |
968
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
1005
12.0 IPS |
|
|
Face Detection (I8)
|
99% |
1067
12.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2503
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2772
21.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2776
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4542
5.97 IPS |
|
|
Style Transfer (F16)
|
100% |
5206
6.85 IPS |
|
|
Style Transfer (I8)
|
100% |
4958
6.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1134
40.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1233
44.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1242
44.3 IPS |
|
|
Text Classification (F32)
|
100% |
61
87.3 IPS |
|
|
Text Classification (F16)
|
100% |
193
277.1 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.5 IPS |
|
|
Machine Translation (F32)
|
100% |
278
5.12 IPS |
|
|
Machine Translation (F16)
|
100% |
111
2.04 IPS |
|
|
Machine Translation (I8)
|
99% |
156
2.86 IPS |
