iPhone 11 Pro Max
Geekbench AI Score
1161
Single Precision Score
3608
Half Precision Score
707
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| 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 | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
29283
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3440
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (Q)
|
94% |
280
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
7161
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
362
4.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
1839
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23936
184.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
951
7.42 IPS |
|
|
Style Transfer (SP)
|
100% |
4625
5.95 IPS |
|
|
Style Transfer (HP)
|
100% |
9854
12.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4125
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
580
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.6 IPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
