iPhone 11
Geekbench ML Score
951
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 07:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
273
51.2 IPS |
|
|
Image Classification (F16)
|
100% |
332
62.1 IPS |
|
|
Image Classification (I8)
|
99% |
339
63.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
222
3.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
242
4.04 IPS |
|
|
Image Segmentation (I8)
|
100% |
246
4.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
2259
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3061
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3046
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
423
31.6 IPS |
|
|
Object Detection (F16)
|
100% |
552
41.2 IPS |
|
|
Object Detection (I8)
|
97% |
494
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
3126
37.2 IPS |
|
|
Face Detection (I8)
|
96% |
3156
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2444
19.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3410
26.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3468
26.9 IPS |
|
|
Style Transfer (F32)
|
24% |
5879
7.73 IPS |
|
|
Style Transfer (F16)
|
30% |
8926
11.7 IPS |
|
|
Style Transfer (I8)
|
30% |
8557
11.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1341
47.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1394
49.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1472
52.6 IPS |
|
|
Text Classification (F32)
|
100% |
238
342.4 IPS |
|
|
Text Classification (F16)
|
100% |
314
451.9 IPS |
|
|
Text Classification (I8)
|
96% |
314
450.8 IPS |
|
|
Machine Translation (F32)
|
100% |
225
4.14 IPS |
|
|
Machine Translation (F16)
|
100% |
224
4.12 IPS |
|
|
Machine Translation (I8)
|
99% |
231
4.25 IPS |
