iPhone 8
Geekbench ML Score
332
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 08:03 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% |
218
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
197
36.9 IPS |
|
|
Image Classification (I8)
|
99% |
187
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
177
2.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
173
2.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
175
2.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
886
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
796
0.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
673
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
142
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
133
9.96 IPS |
|
|
Object Detection (I8)
|
97% |
187
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
362
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
354
4.21 IPS |
|
|
Face Detection (I8)
|
99% |
355
4.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
466
3.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
428
3.32 IPS |
|
|
Depth Estimation (I8)
|
99% |
428
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1191
1.57 IPS |
|
|
Style Transfer (F16)
|
100% |
1151
1.51 IPS |
|
|
Style Transfer (I8)
|
100% |
1174
1.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
418
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
503
18.0 IPS |
|
|
Text Classification (F32)
|
100% |
206
295.9 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.5 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.5 IPS |
|
|
Machine Translation (F32)
|
100% |
276
5.08 IPS |
|
|
Machine Translation (F16)
|
100% |
197
3.62 IPS |
|
|
Machine Translation (I8)
|
99% |
240
4.41 IPS |
