iPhone 11 Pro
Geekbench AI Score
906
Single Precision Score
1125
Half Precision Score
509
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
1318
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
2489
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3495
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1044
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
6152
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8549
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2089
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.9 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.8 IPS |
|
|
Text Classification (Q)
|
93% |
406
545.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (Q)
|
98% |
223
3.86 IPS |
