iPhone 8
Geekbench ML Score
631
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 07 2025 03:15 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
175
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2324
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2802
3.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
2793
3.38 IPS |
|
|
Object Detection (F32)
|
100% |
362
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
305
22.8 IPS |
|
|
Object Detection (I8)
|
97% |
327
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
938
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
961
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
951
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2079
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2325
18.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2316
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4593
6.04 IPS |
|
|
Style Transfer (F16)
|
100% |
4634
6.10 IPS |
|
|
Style Transfer (I8)
|
100% |
4814
6.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1097
39.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1043
37.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1127
40.3 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.8 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.4 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
292
5.37 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (I8)
|
99% |
314
5.77 IPS |
