iPhone 11
Geekbench AI Score
1579
Single Precision Score
3007
Half Precision Score
2497
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 01:59 AM |
| Views | 1 |
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% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1365
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3541
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5757
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
97% |
1577
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (Q)
|
100% |
1670
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2586
19.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5357
41.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
3813
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6152
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
13969
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11602
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2034
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3256
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3270
56.5 IPS |
