iPhone 11
Geekbench ML Score
938
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 09:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
289
54.0 IPS |
|
|
Image Classification (F16)
|
100% |
339
63.4 IPS |
|
|
Image Classification (I8)
|
99% |
339
63.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
242
4.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
247
4.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
2269
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3062
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3048
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
515
38.4 IPS |
|
|
Object Detection (F16)
|
100% |
560
41.8 IPS |
|
|
Object Detection (I8)
|
97% |
514
38.4 IPS |
|
|
Face Detection (F32)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (F16)
|
98% |
3151
37.5 IPS |
|
|
Face Detection (I8)
|
97% |
3044
36.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2471
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3471
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3515
27.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5850
7.70 IPS |
|
|
Style Transfer (F16)
|
100% |
8557
11.3 IPS |
|
|
Style Transfer (I8)
|
100% |
8543
11.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1237
44.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1068
38.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1460
52.1 IPS |
|
|
Text Classification (F32)
|
100% |
237
340.4 IPS |
|
|
Text Classification (F16)
|
100% |
299
429.3 IPS |
|
|
Text Classification (I8)
|
96% |
299
429.7 IPS |
|
|
Machine Translation (F32)
|
100% |
206
3.80 IPS |
|
|
Machine Translation (F16)
|
100% |
195
3.59 IPS |
|
|
Machine Translation (I8)
|
99% |
214
3.94 IPS |
