iPhone 11 Pro Max
Geekbench AI Score
943
Single Precision Score
1134
Half Precision Score
513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 04:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
348
5.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1293
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
395
4.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3477
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1043
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
6181
7.95 IPS |
|
|
Style Transfer (HP)
|
100% |
8661
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2104
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.8 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.5 IPS |
|
|
Text Classification (Q)
|
93% |
391
524.3 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
98% |
249
4.31 IPS |
