iPhone 8
Geekbench ML Score
372
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2024 12:40 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% |
230
43.0 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.3 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
189
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
819
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
880
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
883
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
200
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
218
16.3 IPS |
|
|
Object Detection (I8)
|
97% |
239
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
447
5.31 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.18 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
559
4.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.34 IPS |
|
|
Style Transfer (F32)
|
100% |
1376
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1330
1.75 IPS |
|
|
Style Transfer (I8)
|
100% |
1323
1.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
513
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
204
293.9 IPS |
|
|
Text Classification (F16)
|
100% |
202
291.0 IPS |
|
|
Text Classification (I8)
|
96% |
212
304.5 IPS |
|
|
Machine Translation (F32)
|
100% |
299
5.51 IPS |
|
|
Machine Translation (F16)
|
100% |
221
4.06 IPS |
|
|
Machine Translation (I8)
|
99% |
264
4.86 IPS |
