iPhone 11
Geekbench ML Score
937
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 08:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
278
52.0 IPS |
|
|
Image Classification (F16)
|
100% |
338
63.2 IPS |
|
|
Image Classification (I8)
|
99% |
339
63.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
224
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
241
4.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
240
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
2260
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3063
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3047
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
482
36.0 IPS |
|
|
Object Detection (F16)
|
100% |
525
39.2 IPS |
|
|
Object Detection (I8)
|
97% |
487
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (F16)
|
98% |
3140
37.3 IPS |
|
|
Face Detection (I8)
|
97% |
3150
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2485
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3492
27.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3516
27.3 IPS |
|
|
Style Transfer (F32)
|
100% |
6080
8.00 IPS |
|
|
Style Transfer (F16)
|
100% |
8137
10.7 IPS |
|
|
Style Transfer (I8)
|
100% |
8265
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
999
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1590
56.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1588
56.7 IPS |
|
|
Text Classification (F32)
|
100% |
237
340.5 IPS |
|
|
Text Classification (F16)
|
100% |
294
422.7 IPS |
|
|
Text Classification (I8)
|
96% |
301
432.4 IPS |
|
|
Machine Translation (F32)
|
100% |
211
3.89 IPS |
|
|
Machine Translation (F16)
|
100% |
195
3.59 IPS |
|
|
Machine Translation (I8)
|
99% |
209
3.84 IPS |
