iPhone 8
Geekbench ML Score
619
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 10:31 PM |
| 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% |
175
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
144
27.0 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2275
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2694
3.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
2658
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
264
19.7 IPS |
|
|
Object Detection (F16)
|
100% |
292
21.8 IPS |
|
|
Object Detection (I8)
|
97% |
275
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
985
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
1009
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2309
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2306
17.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2307
17.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4486
5.90 IPS |
|
|
Style Transfer (F16)
|
100% |
4898
6.44 IPS |
|
|
Style Transfer (I8)
|
100% |
4898
6.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
963
34.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1005
35.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1183
42.3 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.1 IPS |
|
|
Text Classification (F16)
|
100% |
190
272.7 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.6 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
304
5.59 IPS |
