iPhone 8 Plus
Geekbench ML Score
616
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 20 2024 03:17 AM |
| Views | 1 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
174
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
144
27.0 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2301
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2700
3.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
2599
3.15 IPS |
|
|
Object Detection (F32)
|
100% |
291
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
290
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
912
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
892
10.6 IPS |
|
|
Face Detection (I8)
|
99% |
1008
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2208
17.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2386
18.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2398
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4384
5.77 IPS |
|
|
Style Transfer (F16)
|
100% |
4796
6.31 IPS |
|
|
Style Transfer (I8)
|
100% |
4904
6.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1006
35.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1031
36.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1177
42.0 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.6 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.3 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.5 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.74 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
269
4.96 IPS |
