iPhone 11
Geekbench AI Score
1209
Single Precision Score
3601
Half Precision Score
746
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 01:40 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 |
| 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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
2697
501.6 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
28385
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3539
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
7130
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23472
180.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1092
8.53 IPS |
|
|
Style Transfer (SP)
|
100% |
5568
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
10925
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4727
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.5 IPS |
|
|
Text Classification (Q)
|
93% |
461
619.2 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
