iPhone 8 Plus
Geekbench ML Score
637
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 14 2025 06:06 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
180
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
160
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2376
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2723
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2646
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
323
24.1 IPS |
|
|
Object Detection (F16)
|
100% |
281
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
321
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
971
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
1018
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2325
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2301
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2308
17.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4389
5.77 IPS |
|
|
Style Transfer (F16)
|
100% |
4942
6.50 IPS |
|
|
Style Transfer (I8)
|
100% |
4925
6.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1113
39.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1065
38.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1126
40.2 IPS |
|
|
Text Classification (F32)
|
100% |
60
85.8 IPS |
|
|
Text Classification (F16)
|
100% |
189
272.0 IPS |
|
|
Text Classification (I8)
|
96% |
180
259.3 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
246
4.53 IPS |
|
|
Machine Translation (I8)
|
99% |
316
5.81 IPS |
