iPhone 11 Pro
Geekbench ML Score
942
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | July 25 2024 11:54 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
298
55.8 IPS |
|
|
Image Classification (F16)
|
100% |
358
67.0 IPS |
|
|
Image Classification (I8)
|
99% |
334
62.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
219
3.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
245
4.10 IPS |
|
|
Image Segmentation (I8)
|
100% |
238
3.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
2258
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
3107
3.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
3090
3.74 IPS |
|
|
Object Detection (F32)
|
100% |
499
37.3 IPS |
|
|
Object Detection (F16)
|
100% |
540
40.3 IPS |
|
|
Object Detection (I8)
|
97% |
507
37.8 IPS |
|
|
Face Detection (F32)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (F16)
|
98% |
3159
37.6 IPS |
|
|
Face Detection (I8)
|
97% |
3095
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2444
19.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3424
26.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3450
26.8 IPS |
|
|
Style Transfer (F32)
|
100% |
5845
7.69 IPS |
|
|
Style Transfer (F16)
|
100% |
8000
10.5 IPS |
|
|
Style Transfer (I8)
|
100% |
8196
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1025
36.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1478
52.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1445
51.6 IPS |
|
|
Text Classification (F32)
|
100% |
239
343.0 IPS |
|
|
Text Classification (F16)
|
100% |
302
433.5 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.3 IPS |
|
|
Machine Translation (F32)
|
100% |
216
3.97 IPS |
|
|
Machine Translation (F16)
|
100% |
196
3.60 IPS |
|
|
Machine Translation (I8)
|
99% |
227
4.18 IPS |
