iPhone 11 Pro
Geekbench AI Score
917
Single Precision Score
1109
Half Precision Score
684
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 09:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
287
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
99% |
368
68.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
100% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3201
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1213
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
2498
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3468
26.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
3492
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6166
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8535
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8553
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.3 IPS |
|
|
Text Classification (HP)
|
100% |
369
493.1 IPS |
|
|
Text Classification (Q)
|
93% |
365
490.0 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
98% |
255
4.41 IPS |
