iPhone 11 Pro
Geekbench AI Score
1155
Single Precision Score
3344
Half Precision Score
667
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
572
106.4 IPS |
|
|
Image Classification (HP)
|
100% |
2742
509.9 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
305
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
3232
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
28331
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3271
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
245
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22248
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
889
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
4485
5.77 IPS |
|
|
Style Transfer (HP)
|
100% |
9138
11.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3878
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
533
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.6 IPS |
|
|
Text Classification (Q)
|
93% |
451
605.1 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
