iPhone 11 Pro Max
Geekbench AI Score
1640
Single Precision Score
3039
Half Precision Score
2532
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (Q)
|
96% |
962
179.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6563
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
5824
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (HP)
|
97% |
1557
123.9 IPS |
|
|
Object Detection (Q)
|
94% |
1135
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1815
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2942
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5467
42.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4090
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7257
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
14244
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12285
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2006
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3141
54.3 IPS |
