iPhone 8
Geekbench ML Score
389
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 03:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| 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% |
229
42.9 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.5 IPS |
|
|
Image Classification (I8)
|
99% |
208
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
3.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
195
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
978
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
888
1.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
882
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
194
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
215
16.0 IPS |
|
|
Object Detection (I8)
|
97% |
236
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
449
5.33 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.19 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
524
4.06 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1479
1.95 IPS |
|
|
Style Transfer (F16)
|
100% |
1406
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1400
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% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
207
297.7 IPS |
|
|
Text Classification (F16)
|
100% |
212
305.4 IPS |
|
|
Text Classification (I8)
|
96% |
217
312.2 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.84 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (I8)
|
99% |
297
5.46 IPS |
