iPhone 8
Geekbench ML Score
644
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 15 2025 06:33 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.9 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
2380
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2834
3.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
2577
3.12 IPS |
|
|
Object Detection (F32)
|
100% |
301
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
283
21.1 IPS |
|
|
Object Detection (I8)
|
97% |
346
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
900
10.7 IPS |
|
|
Face Detection (F16)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
999
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2290
17.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2724
21.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2811
21.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4357
5.73 IPS |
|
|
Style Transfer (F16)
|
100% |
5010
6.59 IPS |
|
|
Style Transfer (I8)
|
100% |
4873
6.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1160
41.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1087
38.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1308
46.7 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.2 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.2 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.3 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
311
5.73 IPS |
