iPhone 11 Pro
Geekbench AI Score
1187
Single Precision Score
3596
Half Precision Score
747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2740
509.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3386
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
29172
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3567
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7054
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
399
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
1859
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22848
176.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1026
8.02 IPS |
|
|
Style Transfer (SP)
|
100% |
5191
6.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10808
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4668
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
639
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.1 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.1 IPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
