iPhone 11 18.5 iPhone 11
Geekbench AI Score
271
Single Precision Score
601
Half Precision Score
305
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Kuwait |
| Upload Date | July 06 2025 03:35 AM |
| Views | 21 |
| Notes | กล้อง truedept เสีย |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
466
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
97% |
194
36.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
246
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1920
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
24566
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
2489
2.92 IPS |
|
|
Object Detection (SP)
|
0
|
||
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
94% |
234
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
7258
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
299
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
1609
12.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1807
14.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
911
7.11 IPS |
|
|
Style Transfer (SP)
|
100% |
3792
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
7847
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
3790
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
542
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.2 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.7 IPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
0
|
