iPhone 11 Pro Max
Geekbench AI Score
1691
Single Precision Score
3106
Half Precision Score
2585
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:05 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% |
807
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1370
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3672
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6732
7.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
5932
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1846
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3059
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5551
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4143
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7429
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
14628
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12476
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3355
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3337
57.7 IPS |
