iPhone 11
Geekbench AI Score
1649
Single Precision Score
3009
Half Precision Score
2527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
96% |
971
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3648
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6664
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5950
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (HP)
|
97% |
1580
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1809
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2833
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5861
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4356
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7044
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
13354
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12295
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2028
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2219
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2721
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2738
47.3 IPS |
