iPhone 11 Pro Max
Geekbench AI Score
1222
Single Precision Score
3495
Half Precision Score
716
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 04:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
2622
487.6 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
294
4.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
28318
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3144
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (Q)
|
94% |
275
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
7105
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
1995
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23479
180.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1044
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
5481
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
10829
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4501
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
469
626.6 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.1 IPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1013
17.5 IPS |
