iPhone 8
Geekbench ML Score
364
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 05:15 PM |
| 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% |
227
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.1 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
870
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
847
1.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
815
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
234
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
219
16.4 IPS |
|
|
Object Detection (I8)
|
97% |
237
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
414
4.92 IPS |
|
|
Depth Estimation (F32)
|
100% |
533
4.13 IPS |
|
|
Depth Estimation (F16)
|
100% |
431
3.35 IPS |
|
|
Depth Estimation (I8)
|
99% |
432
3.35 IPS |
|
|
Style Transfer (F32)
|
100% |
1220
1.60 IPS |
|
|
Style Transfer (F16)
|
100% |
1141
1.50 IPS |
|
|
Style Transfer (I8)
|
100% |
1087
1.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
468
16.7 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.5 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.4 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.5 IPS |
|
|
Machine Translation (F32)
|
100% |
300
5.53 IPS |
|
|
Machine Translation (F16)
|
100% |
224
4.12 IPS |
|
|
Machine Translation (I8)
|
99% |
255
4.70 IPS |
