iPhone 8 Plus
Geekbench ML Score
630
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 20 2025 07:36 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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% |
196
36.8 IPS |
|
|
Image Classification (F16)
|
100% |
158
29.6 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2280
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2638
3.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
2624
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
319
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
260
19.4 IPS |
|
|
Object Detection (I8)
|
97% |
303
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
877
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
975
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
986
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2149
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2480
19.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2645
20.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4645
6.11 IPS |
|
|
Style Transfer (F16)
|
100% |
5217
6.86 IPS |
|
|
Style Transfer (I8)
|
100% |
5030
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
979
35.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1182
42.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1132
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.9 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.1 IPS |
|
|
Text Classification (I8)
|
96% |
204
293.2 IPS |
|
|
Machine Translation (F32)
|
100% |
263
4.85 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
311
5.72 IPS |
