iPhone 8
Geekbench ML Score
620
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 09:55 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
160
29.9 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2301
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2606
3.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
2624
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
296
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
274
20.5 IPS |
|
|
Object Detection (I8)
|
97% |
287
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
999
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2102
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2358
18.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2519
19.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4364
5.74 IPS |
|
|
Style Transfer (F16)
|
100% |
4756
6.26 IPS |
|
|
Style Transfer (I8)
|
100% |
4933
6.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
958
34.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
990
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1060
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.5 IPS |
|
|
Text Classification (F16)
|
100% |
193
276.7 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.8 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
305
5.61 IPS |
