iPhone 11 - Business Phone iPhone 11
Geekbench AI Score
1737
Single Precision Score
3121
Half Precision Score
2599
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Benjamin_Personal |
| Upload Date | April 15 2026 10:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
800
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1457
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3508
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6372
7.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
5681
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
776
61.6 IPS |
|
|
Object Detection (HP)
|
97% |
1571
125.1 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1826
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5890
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4336
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7192
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
14379
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12220
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2712
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2157
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2255
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2268
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3182
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3176
54.9 IPS |
