iPhone 11 Pro Max
Geekbench AI Score
1652
Single Precision Score
3073
Half Precision Score
2571
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 03:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
764
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.5 IPS |
|
|
Image Classification (Q)
|
96% |
967
180.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1351
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
5961
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1845
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5546
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4130
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7741
9.95 IPS |
|
|
Style Transfer (HP)
|
100% |
14603
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12479
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3262
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3274
56.6 IPS |
