iPhone 11 Pro Max
Geekbench AI Score
1689
Single Precision Score
3088
Half Precision Score
2540
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
5981
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1837
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3059
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5538
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4128
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7620
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
14491
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11255
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2027
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3193
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3212
55.5 IPS |
