iPhone 11 Pro
Geekbench AI Score
935
Single Precision Score
1128
Half Precision Score
514
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1330
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
395
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
2514
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3470
26.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1024
8.00 IPS |
|
|
Style Transfer (SP)
|
100% |
6151
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8475
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
2085
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
306.0 IPS |
|
|
Text Classification (HP)
|
100% |
383
511.7 IPS |
|
|
Text Classification (Q)
|
93% |
381
511.3 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
98% |
264
4.56 IPS |
