iPhone 8
Geekbench ML Score
633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 22 2025 10:26 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.7 |
| 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% |
182
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.1 IPS |
|
|
Image Classification (I8)
|
99% |
153
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
205
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
2381
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2881
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2856
3.46 IPS |
|
|
Object Detection (F32)
|
100% |
288
21.5 IPS |
|
|
Object Detection (F16)
|
100% |
305
22.8 IPS |
|
|
Object Detection (I8)
|
97% |
296
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
916
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
945
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
975
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2486
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2803
21.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2823
21.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4597
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
4654
6.12 IPS |
|
|
Style Transfer (I8)
|
100% |
5196
6.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1105
39.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1014
36.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1064
38.0 IPS |
|
|
Text Classification (F32)
|
100% |
61
87.0 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.5 IPS |
|
|
Text Classification (I8)
|
96% |
197
282.6 IPS |
|
|
Machine Translation (F32)
|
100% |
276
5.08 IPS |
|
|
Machine Translation (F16)
|
100% |
196
3.60 IPS |
|
|
Machine Translation (I8)
|
99% |
229
4.22 IPS |
