iPhone 11 Pro Max
Geekbench AI Score
1172
Single Precision Score
3596
Half Precision Score
738
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 07:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2865
532.7 IPS |
|
|
Image Classification (Q)
|
97% |
273
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
317
5.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
28811
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3523
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (Q)
|
94% |
296
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7092
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
400
4.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
2007
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24612
189.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1079
8.42 IPS |
|
|
Style Transfer (SP)
|
100% |
5385
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
10948
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4783
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4502
166.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
649
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
728
972.4 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.4 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
939
16.2 IPS |
