iPhone 8
Geekbench ML Score
626
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 07:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2288
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2732
3.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
2865
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
342
25.5 IPS |
|
|
Object Detection (F16)
|
100% |
287
21.4 IPS |
|
|
Object Detection (I8)
|
97% |
287
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
999
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
996
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
987
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2293
17.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2393
18.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2380
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4438
5.84 IPS |
|
|
Style Transfer (F16)
|
100% |
4743
6.24 IPS |
|
|
Style Transfer (I8)
|
100% |
4753
6.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
925
33.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
969
34.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1059
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
49
69.7 IPS |
|
|
Text Classification (F16)
|
100% |
200
286.8 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.7 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.84 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
314
5.78 IPS |
