iPhone 8 Plus
Geekbench ML Score
629
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | rennsport |
| Upload Date | July 02 2025 08:51 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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% |
180
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.8 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2375
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2752
3.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
2714
3.29 IPS |
|
|
Object Detection (F32)
|
100% |
270
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
324
24.2 IPS |
|
|
Object Detection (I8)
|
97% |
307
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
969
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
980
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2171
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2586
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2283
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4462
5.87 IPS |
|
|
Style Transfer (F16)
|
100% |
4592
6.04 IPS |
|
|
Style Transfer (I8)
|
100% |
4794
6.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
981
35.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1130
40.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1059
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
53
75.9 IPS |
|
|
Text Classification (F16)
|
100% |
198
285.1 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.9 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
245
4.51 IPS |
|
|
Machine Translation (I8)
|
99% |
293
5.40 IPS |
