iPhone 11
Geekbench AI Score
1640
Single Precision Score
3050
Half Precision Score
2535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 05:15 PM |
| Views | 1 |
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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3537
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
5681
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
97% |
1584
126.1 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
1800
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2896
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5466
42.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4104
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7198
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
14218
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12060
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2613
96.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2044
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2199
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3106
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3139
54.2 IPS |
