iPhone 11
Geekbench AI Score
1612
Single Precision Score
3071
Half Precision Score
2551
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | matogeek |
| Upload Date | July 27 2025 03:09 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3427
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
5805
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1825
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5518
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4143
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7322
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
14384
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12442
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2513
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2035
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3213
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3166
54.7 IPS |
