iPhone 16 Pro Max
Geekbench AI Score
5726
Single Precision Score
6686
Half Precision Score
5995
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | January 02 2025 03:13 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2684
499.1 IPS |
|
|
Image Classification (HP)
|
100% |
2733
508.2 IPS |
|
|
Image Classification (Q)
|
97% |
2611
487.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4413
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4385
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15713
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16379
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15581
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3339
264.8 IPS |
|
|
Object Detection (HP)
|
100% |
3712
294.4 IPS |
|
|
Object Detection (Q)
|
91% |
2864
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
7854
93.3 IPS |
|
|
Face Detection (HP)
|
100% |
10630
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7125
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13446
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14391
110.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12564
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33027
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37759
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35719
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7982
294.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8445
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6754
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
913
15.8 IPS |
