iPhone 8
Geekbench ML Score
392
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 09 2024 03:18 AM |
| Views | 2 |
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% |
232
43.5 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.0 IPS |
|
|
Image Classification (I8)
|
99% |
212
39.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
191
3.19 IPS |
|
|
Image Segmentation (I8)
|
100% |
195
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
921
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
938
1.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
915
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
248
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
234
17.5 IPS |
|
|
Object Detection (I8)
|
97% |
246
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
465
5.53 IPS |
|
|
Face Detection (I8)
|
99% |
440
5.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
574
4.45 IPS |
|
|
Depth Estimation (F16)
|
100% |
527
4.09 IPS |
|
|
Depth Estimation (I8)
|
99% |
525
4.08 IPS |
|
|
Style Transfer (F32)
|
100% |
1480
1.95 IPS |
|
|
Style Transfer (F16)
|
100% |
1414
1.86 IPS |
|
|
Style Transfer (I8)
|
100% |
1413
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
426
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
509
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
211
303.3 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.4 IPS |
|
|
Text Classification (I8)
|
96% |
217
312.3 IPS |
|
|
Machine Translation (F32)
|
100% |
284
5.23 IPS |
|
|
Machine Translation (F16)
|
100% |
212
3.90 IPS |
|
|
Machine Translation (I8)
|
99% |
269
4.95 IPS |
