iPhone 11
Geekbench AI Score
1638
Single Precision Score
2758
Half Precision Score
2366
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FidanKazan |
| Upload Date | February 28 2025 12:56 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
763
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
1156
215.1 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1089
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6684
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5925
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
699
55.4 IPS |
|
|
Object Detection (HP)
|
97% |
1354
107.8 IPS |
|
|
Object Detection (Q)
|
94% |
1032
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (Q)
|
100% |
1682
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2929
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
4899
37.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
3764
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7467
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
13930
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11986
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2148
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2421
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2433
42.0 IPS |
