iPhone 11 Pro
Geekbench ML Score
1043
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 12:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
302
56.6 IPS |
|
|
Image Classification (F16)
|
100% |
349
65.3 IPS |
|
|
Image Classification (I8)
|
99% |
347
64.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
5.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
340
5.68 IPS |
|
|
Image Segmentation (I8)
|
100% |
344
5.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
2278
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
3144
3.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
3115
3.77 IPS |
|
|
Object Detection (F32)
|
100% |
516
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
631
47.1 IPS |
|
|
Object Detection (I8)
|
97% |
583
43.5 IPS |
|
|
Face Detection (F32)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (F16)
|
97% |
3431
40.8 IPS |
|
|
Face Detection (I8)
|
96% |
3438
40.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2516
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3474
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3527
27.3 IPS |
|
|
Style Transfer (F32)
|
24% |
5950
7.83 IPS |
|
|
Style Transfer (F16)
|
30% |
8961
11.8 IPS |
|
|
Style Transfer (I8)
|
30% |
8789
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1112
39.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1410
50.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1431
51.1 IPS |
|
|
Text Classification (F32)
|
100% |
238
342.0 IPS |
|
|
Text Classification (F16)
|
100% |
313
449.8 IPS |
|
|
Text Classification (I8)
|
96% |
313
450.0 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.66 IPS |
|
|
Machine Translation (F16)
|
100% |
301
5.53 IPS |
|
|
Machine Translation (I8)
|
99% |
305
5.62 IPS |
