iPhone 8 Plus
Geekbench ML Score
631
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 07:19 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
175
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2293
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2561
3.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
2629
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
337
25.1 IPS |
|
|
Object Detection (F16)
|
100% |
297
22.2 IPS |
|
|
Object Detection (I8)
|
97% |
370
27.6 IPS |
|
|
Face Detection (F32)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
1013
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2232
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2351
18.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2278
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4622
6.08 IPS |
|
|
Style Transfer (F16)
|
100% |
4854
6.39 IPS |
|
|
Style Transfer (I8)
|
100% |
4834
6.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
978
34.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
964
34.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1148
41.0 IPS |
|
|
Text Classification (F32)
|
100% |
48
68.3 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.3 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.7 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.82 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |
