iPhone 11
Geekbench AI Score
1678
Single Precision Score
3079
Half Precision Score
2567
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (Q)
|
96% |
967
180.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5939
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1573
125.3 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3013
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5517
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4123
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7530
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
14511
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12420
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1871
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2051
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3265
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3286
56.8 IPS |
