iPhone 11
Geekbench AI Score
1166
Single Precision Score
3613
Half Precision Score
729
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | August 22 2025 09:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3164
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
28507
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3593
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7179
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1872
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25167
193.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1016
7.93 IPS |
|
|
Style Transfer (SP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
10354
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4317
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
595
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.0 IPS |
|
|
Machine Translation (SP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1005
17.4 IPS |
