iPhone 11 Pro Max
Geekbench AI Score
1561
Single Precision Score
2987
Half Precision Score
2467
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 04:09 PM |
| Views | 1 |
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% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1339
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5386
6.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
4801
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1565
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1143
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1787
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2822
21.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5478
42.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4033
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6617
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
14262
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11919
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2544
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2009
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3173
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3119
53.9 IPS |
