iPhone 11
Geekbench AI Score
1189
Single Precision Score
3547
Half Precision Score
739
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (HP)
|
100% |
2670
496.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
311
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
29133
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3488
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6909
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
396
4.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1968
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23211
178.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1063
8.31 IPS |
|
|
Style Transfer (SP)
|
100% |
5272
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
10494
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4584
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
622
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.2 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
