iPhone 11 Pro Max
Geekbench AI Score
860
Single Precision Score
1127
Half Precision Score
513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2375
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1238
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.1 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
399
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2523
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3462
26.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1045
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
6193
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8696
11.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2144
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
95
126.4 IPS |
|
|
Text Classification (HP)
|
100% |
394
525.6 IPS |
|
|
Text Classification (Q)
|
93% |
392
526.8 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
98% |
255
4.41 IPS |
