iPhone 11 Pro
Geekbench AI Score
929
Single Precision Score
1112
Half Precision Score
508
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 12:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1291
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
364
4.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
2470
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3423
26.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
911
7.11 IPS |
|
|
Style Transfer (SP)
|
100% |
6037
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6884
8.85 IPS |
|
|
Style Transfer (Q)
|
96% |
2100
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.8 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.5 IPS |
|
|
Text Classification (Q)
|
93% |
406
544.5 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
98% |
291
5.03 IPS |
