iPhone 11 Pro
Geekbench AI Score
1186
Single Precision Score
3535
Half Precision Score
1432
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 11:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
540
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
2714
504.7 IPS |
|
|
Image Classification (Q)
|
99% |
2709
505.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
100% |
498
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3336
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
27923
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
3237
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
420
4.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
2017
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23420
180.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
23269
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5660
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
11252
14.5 IPS |
|
|
Style Transfer (Q)
|
100% |
11245
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4432
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
730
973.9 IPS |
|
|
Text Classification (HP)
|
100% |
429
573.2 IPS |
|
|
Text Classification (Q)
|
93% |
425
569.8 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
985
17.0 IPS |
