iPhone 8
Geekbench ML Score
385
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 15 2024 03:19 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% |
230
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.3 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
921
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
878
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
879
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
216
16.1 IPS |
|
|
Object Detection (I8)
|
97% |
236
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.29 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.17 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
567
4.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
523
4.05 IPS |
|
|
Depth Estimation (I8)
|
99% |
525
4.07 IPS |
|
|
Style Transfer (F32)
|
100% |
1417
1.86 IPS |
|
|
Style Transfer (F16)
|
100% |
1401
1.84 IPS |
|
|
Style Transfer (I8)
|
100% |
1396
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
426
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
512
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
203
292.4 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.7 IPS |
|
|
Text Classification (I8)
|
96% |
217
311.2 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.58 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.29 IPS |
|
|
Machine Translation (I8)
|
99% |
286
5.26 IPS |
