iPhone 8
Geekbench ML Score
425
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 05:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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% |
238
44.6 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.2 IPS |
|
|
Image Classification (I8)
|
99% |
218
40.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
1039
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1010
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
1027
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
246
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
241
18.0 IPS |
|
|
Object Detection (I8)
|
97% |
265
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
473
5.62 IPS |
|
|
Face Detection (F16)
|
100% |
461
5.48 IPS |
|
|
Face Detection (I8)
|
99% |
465
5.53 IPS |
|
|
Depth Estimation (F32)
|
100% |
625
4.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (I8)
|
99% |
553
4.29 IPS |
|
|
Style Transfer (F32)
|
100% |
1658
2.18 IPS |
|
|
Style Transfer (F16)
|
100% |
1688
2.22 IPS |
|
|
Style Transfer (I8)
|
100% |
1662
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
514
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
545
19.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
561
20.0 IPS |
|
|
Text Classification (F32)
|
100% |
248
356.7 IPS |
|
|
Text Classification (F16)
|
100% |
217
311.3 IPS |
|
|
Text Classification (I8)
|
96% |
221
317.5 IPS |
|
|
Machine Translation (F32)
|
100% |
309
5.69 IPS |
|
|
Machine Translation (F16)
|
100% |
260
4.79 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |
