iPhone 11 Pro
Geekbench AI Score
1763
Single Precision Score
3146
Half Precision Score
2579
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 08 2026 12:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6687
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5941
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1679
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1858
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3126
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5926
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4359
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7635
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
14202
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
10484
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2146
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3198
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3191
55.2 IPS |
