iPhone 11
Geekbench AI Score
1219
Single Precision Score
3468
Half Precision Score
717
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 03:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
2656
493.9 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
29334
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3209
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (HP)
|
100% |
2366
187.6 IPS |
|
|
Object Detection (Q)
|
94% |
274
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
7090
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1991
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23636
182.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1025
8.01 IPS |
|
|
Style Transfer (SP)
|
100% |
5431
6.98 IPS |
|
|
Style Transfer (HP)
|
100% |
10507
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4413
5.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
595
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
468
624.9 IPS |
|
|
Text Classification (Q)
|
93% |
466
625.9 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
986
17.0 IPS |
