iPhone 11 Pro
Geekbench AI Score
919
Single Precision Score
1116
Half Precision Score
687
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bobolopolis |
| Upload Date | August 16 2024 12:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
357
66.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.50 IPS |
|
|
Image Segmentation (Q)
|
100% |
349
5.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3227
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1317
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
26.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
3476
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6112
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8569
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8552
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.7 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.4 IPS |
|
|
Text Classification (Q)
|
93% |
369
495.8 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
98% |
245
4.24 IPS |
