iPhone 11
Geekbench AI Score
1684
Single Precision Score
3090
Half Precision Score
2576
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 07 2025 12:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3645
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5872
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1836
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3028
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5545
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4138
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7496
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
14591
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12466
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2067
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3303
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3303
57.1 IPS |
