iPhone 11 Pro Max
Geekbench AI Score
1173
Single Precision Score
3575
Half Precision Score
735
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 24 2025 11:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
29278
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3368
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (Q)
|
94% |
284
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7029
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
1938
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24620
189.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1031
8.06 IPS |
|
|
Style Transfer (SP)
|
100% |
5462
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
10172
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4566
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4252
157.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (Q)
|
93% |
456
612.1 IPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1069
18.5 IPS |
