iPhone 11
Geekbench AI Score
1726
Single Precision Score
3150
Half Precision Score
2610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | February 19 2025 10:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3684
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5910
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
97% |
1625
129.4 IPS |
|
|
Object Detection (Q)
|
94% |
1172
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3165
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5978
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4368
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7805
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14156
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12276
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2105
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2165
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2996
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3178
54.9 IPS |
