iPhone 11
Geekbench AI Score
1569
Single Precision Score
3021
Half Precision Score
2465
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 06:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1352
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3120
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
6111
7.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
5095
5.97 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
97% |
1557
123.9 IPS |
|
|
Object Detection (Q)
|
94% |
1111
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (Q)
|
100% |
1720
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2692
20.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5384
41.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3866
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6118
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
14011
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11641
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2031
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3191
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3213
55.5 IPS |
