iPhone 11 Pro
Geekbench AI Score
926
Single Precision Score
1079
Half Precision Score
490
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 12:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
292
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
1234
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
94% |
272
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
2432
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3114
24.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
900
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
6003
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6919
8.89 IPS |
|
|
Style Transfer (Q)
|
96% |
2116
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
456
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.1 IPS |
|
|
Text Classification (HP)
|
100% |
395
527.2 IPS |
|
|
Text Classification (Q)
|
93% |
389
522.5 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
98% |
249
4.30 IPS |
