iPhone 11 Pro Max
Geekbench AI Score
924
Single Precision Score
1146
Half Precision Score
520
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eli1stark |
| Upload Date | July 06 2025 04:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
286
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1225
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
399
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2494
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3467
26.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1042
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
6141
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8632
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2108
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.1 IPS |
|
|
Text Classification (Q)
|
93% |
405
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
98% |
293
5.07 IPS |
