iPhone 8
Geekbench ML Score
619
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 03 2025 05:44 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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 | 1.93 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% |
148
27.6 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2227
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
2690
3.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
2531
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
279
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
270
20.1 IPS |
|
|
Object Detection (I8)
|
97% |
275
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
911
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
979
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1094
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2230
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2246
17.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2390
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4734
6.23 IPS |
|
|
Style Transfer (F16)
|
100% |
5062
6.66 IPS |
|
|
Style Transfer (I8)
|
100% |
4773
6.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1038
37.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1116
39.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1023
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
47
68.0 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.3 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.8 IPS |
|
|
Machine Translation (F32)
|
100% |
316
5.81 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
287
5.28 IPS |
