iPhone 8
Geekbench ML Score
288
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 08:24 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
228
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.0 IPS |
|
|
Image Classification (I8)
|
99% |
155
29.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
2.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
154
2.57 IPS |
|
|
Image Segmentation (I8)
|
100% |
163
2.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
887
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
735
0.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
675
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
142
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
137
10.2 IPS |
|
|
Object Detection (I8)
|
97% |
188
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
360
4.28 IPS |
|
|
Face Detection (F16)
|
100% |
354
4.21 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
382
2.96 IPS |
|
|
Depth Estimation (I8)
|
99% |
405
3.14 IPS |
|
|
Style Transfer (F32)
|
100% |
1022
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
1044
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
907
1.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
276
9.85 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
314
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
315
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
127
182.8 IPS |
|
|
Text Classification (F16)
|
100% |
152
218.0 IPS |
|
|
Text Classification (I8)
|
96% |
152
218.7 IPS |
|
|
Machine Translation (F32)
|
100% |
242
4.46 IPS |
|
|
Machine Translation (F16)
|
100% |
192
3.53 IPS |
|
|
Machine Translation (I8)
|
99% |
166
3.06 IPS |
