iPhone 11 Pro Max
Geekbench AI Score
1181
Single Precision Score
3542
Half Precision Score
734
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
532
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (Q)
|
97% |
278
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
3387
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
28390
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3373
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
282
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7052
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
395
4.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
1965
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23472
180.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1060
8.28 IPS |
|
|
Style Transfer (SP)
|
100% |
5480
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
10378
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4524
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4268
157.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
615
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.9 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.6 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1036
17.9 IPS |
