iPhone 8
Geekbench ML Score
388
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 22 2024 04:14 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% |
213
39.9 IPS |
|
|
Image Classification (I8)
|
99% |
210
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
176
2.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
936
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
896
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
882
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
214
16.0 IPS |
|
|
Object Detection (F16)
|
100% |
215
16.0 IPS |
|
|
Object Detection (I8)
|
97% |
237
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
453
5.39 IPS |
|
|
Face Detection (F16)
|
100% |
439
5.22 IPS |
|
|
Face Detection (I8)
|
99% |
437
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (F16)
|
100% |
525
4.07 IPS |
|
|
Depth Estimation (I8)
|
99% |
522
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1476
1.94 IPS |
|
|
Style Transfer (F16)
|
100% |
1399
1.84 IPS |
|
|
Style Transfer (I8)
|
100% |
1396
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
509
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
511
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
204
293.7 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.4 IPS |
|
|
Text Classification (I8)
|
96% |
216
310.7 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.73 IPS |
|
|
Machine Translation (F16)
|
100% |
232
4.28 IPS |
|
|
Machine Translation (I8)
|
99% |
281
5.18 IPS |
