iPhone 8
Geekbench ML Score
625
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 11:11 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.4 IPS |
|
|
Image Classification (I8)
|
99% |
149
27.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2336
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2675
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2747
3.33 IPS |
|
|
Object Detection (F32)
|
100% |
339
25.3 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
931
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
938
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2257
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2398
18.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2546
19.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4533
5.96 IPS |
|
|
Style Transfer (F16)
|
100% |
4750
6.25 IPS |
|
|
Style Transfer (I8)
|
100% |
4983
6.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1179
42.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1082
38.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1234
44.1 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.7 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.9 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.2 IPS |
|
|
Machine Translation (F32)
|
100% |
276
5.07 IPS |
|
|
Machine Translation (F16)
|
100% |
226
4.15 IPS |
|
|
Machine Translation (I8)
|
99% |
244
4.49 IPS |
