iPhone 11
Geekbench ML Score
941
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 07 2024 01:39 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% |
281
52.6 IPS |
|
|
Image Classification (F16)
|
100% |
335
62.8 IPS |
|
|
Image Classification (I8)
|
99% |
332
62.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
226
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
250
4.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
248
4.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
2262
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3057
3.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
3041
3.68 IPS |
|
|
Object Detection (F32)
|
100% |
400
29.8 IPS |
|
|
Object Detection (F16)
|
100% |
526
39.2 IPS |
|
|
Object Detection (I8)
|
97% |
470
35.1 IPS |
|
|
Face Detection (F32)
|
100% |
2453
29.2 IPS |
|
|
Face Detection (F16)
|
97% |
3112
37.0 IPS |
|
|
Face Detection (I8)
|
96% |
3092
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2466
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3450
26.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3440
26.7 IPS |
|
|
Style Transfer (F32)
|
24% |
5820
7.66 IPS |
|
|
Style Transfer (F16)
|
30% |
7921
10.4 IPS |
|
|
Style Transfer (I8)
|
30% |
8958
11.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1281
45.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1577
56.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1469
52.5 IPS |
|
|
Text Classification (F32)
|
100% |
237
340.6 IPS |
|
|
Text Classification (F16)
|
100% |
301
432.1 IPS |
|
|
Text Classification (I8)
|
96% |
303
435.5 IPS |
|
|
Machine Translation (F32)
|
100% |
225
4.15 IPS |
|
|
Machine Translation (F16)
|
100% |
199
3.67 IPS |
|
|
Machine Translation (I8)
|
99% |
223
4.10 IPS |
