iPhone 11
Geekbench AI Score
1174
Single Precision Score
3469
Half Precision Score
717
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StripeyMiata |
| Upload Date | August 27 2025 06:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
2656
494.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
302
4.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
3237
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
29411
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3316
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (Q)
|
94% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
6976
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1941
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23610
181.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1027
8.02 IPS |
|
|
Style Transfer (SP)
|
100% |
5390
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
10476
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4373
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3784
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
598
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.5 IPS |
|
|
Text Classification (Q)
|
93% |
455
610.6 IPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
