iPhone 11 Pro
Geekbench AI Score
1042
Single Precision Score
3133
Half Precision Score
622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
560
104.1 IPS |
|
|
Image Classification (HP)
|
100% |
2733
508.2 IPS |
|
|
Image Classification (Q)
|
97% |
266
49.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
280
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2164
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
25017
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2782
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
2183
173.1 IPS |
|
|
Object Detection (Q)
|
94% |
239
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1637
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21155
163.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
864
6.75 IPS |
|
|
Style Transfer (SP)
|
100% |
4430
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
8859
11.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3796
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3641
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
531
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
414
552.1 IPS |
|
|
Text Classification (Q)
|
93% |
423
567.2 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
