iPhone 8
Geekbench ML Score
382
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 10:15 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% |
223
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
205
38.4 IPS |
|
|
Image Classification (I8)
|
99% |
208
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
178
2.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
177
2.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
920
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
872
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
878
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
188
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
210
15.7 IPS |
|
|
Object Detection (I8)
|
97% |
232
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.26 IPS |
|
|
Face Detection (F16)
|
100% |
440
5.23 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
526
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1462
1.92 IPS |
|
|
Style Transfer (F16)
|
100% |
1401
1.84 IPS |
|
|
Style Transfer (I8)
|
100% |
1400
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
513
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
512
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.6 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.2 IPS |
|
|
Text Classification (I8)
|
96% |
216
309.9 IPS |
|
|
Machine Translation (F32)
|
100% |
321
5.91 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.33 IPS |
|
|
Machine Translation (I8)
|
99% |
297
5.46 IPS |
