iPhone 8
Geekbench ML Score
633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 03 2025 05:39 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
188
35.1 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.4 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2230
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
2876
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2795
3.38 IPS |
|
|
Object Detection (F32)
|
100% |
337
25.2 IPS |
|
|
Object Detection (F16)
|
100% |
285
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
323
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
946
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
1012
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2398
18.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2425
18.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2311
17.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4653
6.12 IPS |
|
|
Style Transfer (F16)
|
100% |
5361
7.05 IPS |
|
|
Style Transfer (I8)
|
100% |
4821
6.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1109
39.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
983
35.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1058
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.4 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.4 IPS |
|
|
Text Classification (I8)
|
96% |
200
286.8 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
216
3.97 IPS |
|
|
Machine Translation (I8)
|
99% |
269
4.95 IPS |
