iPhone 11 Pro Max
Geekbench AI Score
937
Single Precision Score
1139
Half Precision Score
509
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ShortKick |
| Upload Date | September 24 2025 02:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2375
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
399
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2521
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3466
26.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1044
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
6195
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8666
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2081
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
226
302.3 IPS |
|
|
Text Classification (HP)
|
100% |
392
522.8 IPS |
|
|
Text Classification (Q)
|
93% |
388
520.4 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (Q)
|
98% |
243
4.20 IPS |
