iPhone 8
Geekbench ML Score
390
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 14 2024 03:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.7 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.23 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
931
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
919
1.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
880
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
194
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
216
16.1 IPS |
|
|
Object Detection (I8)
|
97% |
235
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
450
5.35 IPS |
|
|
Face Detection (F16)
|
100% |
433
5.15 IPS |
|
|
Face Detection (I8)
|
99% |
439
5.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
567
4.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
530
4.11 IPS |
|
|
Depth Estimation (I8)
|
99% |
523
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1486
1.95 IPS |
|
|
Style Transfer (F16)
|
100% |
1412
1.86 IPS |
|
|
Style Transfer (I8)
|
100% |
1412
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
426
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
511
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
229
329.3 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.3 IPS |
|
|
Text Classification (I8)
|
96% |
224
322.6 IPS |
|
|
Machine Translation (F32)
|
100% |
301
5.54 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.28 IPS |
|
|
Machine Translation (I8)
|
99% |
297
5.47 IPS |
