iPhone 11
Geekbench AI Score
932
Single Precision Score
1105
Half Precision Score
510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 03:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1274
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3485
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1026
8.01 IPS |
|
|
Style Transfer (SP)
|
100% |
6146
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6759
8.69 IPS |
|
|
Style Transfer (Q)
|
96% |
2094
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1323
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.8 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.8 IPS |
|
|
Text Classification (Q)
|
93% |
399
535.6 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.22 IPS |
