iPhone 11
Geekbench AI Score
1682
Single Precision Score
3149
Half Precision Score
2615
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StripeyMiata |
| Upload Date | August 27 2025 06:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.5 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3612
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6583
7.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
5833
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1168
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1860
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3016
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5895
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4323
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7575
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
14443
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12293
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2176
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2251
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3210
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3183
55.0 IPS |
