iPhone 11 Pro Max
Geekbench AI Score
924
Single Precision Score
1138
Half Precision Score
506
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1240
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
395
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
2519
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3514
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1042
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
6177
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8591
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2095
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.3 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.9 IPS |
|
|
Text Classification (Q)
|
93% |
409
548.7 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
98% |
221
3.83 IPS |
