iPhone 11 Pro Max
Geekbench AI Score
1759
Single Precision Score
3175
Half Precision Score
2641
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 06:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6713
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5946
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
97% |
1625
129.4 IPS |
|
|
Object Detection (Q)
|
94% |
1178
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5953
46.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4367
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7843
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14494
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12323
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2197
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3230
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3309
57.2 IPS |
