iPhone 11 Pro
Geekbench ML Score
927
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2024 03:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
284
53.2 IPS |
|
|
Image Classification (F16)
|
100% |
355
66.4 IPS |
|
|
Image Classification (I8)
|
99% |
339
63.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
223
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
250
4.17 IPS |
|
|
Image Segmentation (I8)
|
100% |
252
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
2259
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3024
3.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
3044
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
498
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
535
39.9 IPS |
|
|
Object Detection (I8)
|
97% |
508
37.9 IPS |
|
|
Face Detection (F32)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (F16)
|
98% |
3075
36.6 IPS |
|
|
Face Detection (I8)
|
97% |
3105
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2512
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3572
27.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3447
26.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5928
7.80 IPS |
|
|
Style Transfer (F16)
|
100% |
8220
10.8 IPS |
|
|
Style Transfer (I8)
|
100% |
8204
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1119
40.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1180
42.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1121
40.0 IPS |
|
|
Text Classification (F32)
|
100% |
230
331.1 IPS |
|
|
Text Classification (F16)
|
100% |
295
424.4 IPS |
|
|
Text Classification (I8)
|
96% |
299
430.1 IPS |
|
|
Machine Translation (F32)
|
100% |
214
3.95 IPS |
|
|
Machine Translation (F16)
|
100% |
198
3.65 IPS |
|
|
Machine Translation (I8)
|
99% |
214
3.94 IPS |
