iPhone 8
Geekbench ML Score
618
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 23 2024 10:59 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% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.8 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2220
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
2499
3.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
2444
2.96 IPS |
|
|
Object Detection (F32)
|
100% |
304
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
258
19.3 IPS |
|
|
Object Detection (I8)
|
97% |
276
20.6 IPS |
|
|
Face Detection (F32)
|
100% |
959
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
971
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2101
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2384
18.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2690
20.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4343
5.71 IPS |
|
|
Style Transfer (F16)
|
100% |
4793
6.31 IPS |
|
|
Style Transfer (I8)
|
100% |
4849
6.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
957
34.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
991
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1207
43.1 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.6 IPS |
|
|
Text Classification (F16)
|
100% |
196
282.1 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.7 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.81 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
304
5.59 IPS |
