iPhone 11
Geekbench ML Score
949
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 09:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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% |
268
50.1 IPS |
|
|
Image Classification (F16)
|
100% |
336
62.8 IPS |
|
|
Image Classification (I8)
|
99% |
332
62.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
227
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
258
4.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
251
4.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
2257
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
3065
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3043
3.68 IPS |
|
|
Object Detection (F32)
|
100% |
513
38.3 IPS |
|
|
Object Detection (F16)
|
100% |
432
32.2 IPS |
|
|
Object Detection (I8)
|
97% |
468
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (F16)
|
97% |
3139
37.3 IPS |
|
|
Face Detection (I8)
|
96% |
3068
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2456
19.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3464
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3431
26.6 IPS |
|
|
Style Transfer (F32)
|
24% |
6034
7.94 IPS |
|
|
Style Transfer (F16)
|
30% |
8898
11.7 IPS |
|
|
Style Transfer (I8)
|
30% |
8939
11.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1360
48.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1434
51.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1480
52.9 IPS |
|
|
Text Classification (F32)
|
100% |
238
342.0 IPS |
|
|
Text Classification (F16)
|
100% |
310
445.8 IPS |
|
|
Text Classification (I8)
|
96% |
310
445.6 IPS |
|
|
Machine Translation (F32)
|
100% |
225
4.15 IPS |
|
|
Machine Translation (F16)
|
100% |
201
3.70 IPS |
|
|
Machine Translation (I8)
|
99% |
227
4.17 IPS |
