iPhone 11 Pro Max
Geekbench AI Score
1171
Single Precision Score
3580
Half Precision Score
741
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 26 2026 12:48 AM |
| Views | 5 |
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% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.7 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3262
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
28294
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3401
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
2445
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6973
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
396
4.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1928
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23468
180.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1100
8.59 IPS |
|
|
Style Transfer (SP)
|
100% |
5512
7.09 IPS |
|
|
Style Transfer (HP)
|
100% |
11243
14.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4831
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
651
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.5 IPS |
|
|
Text Classification (HP)
|
100% |
426
569.0 IPS |
|
|
Text Classification (Q)
|
93% |
431
577.9 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1000
17.3 IPS |
