iPhone 11 Pro Max
Geekbench AI Score
1698
Single Precision Score
3153
Half Precision Score
2603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 03:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1465
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6641
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5890
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
97% |
1631
129.8 IPS |
|
|
Object Detection (Q)
|
94% |
1187
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1868
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3123
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5940
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4266
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6587
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14017
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12023
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2100
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2180
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3199
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3215
55.6 IPS |
