iPhone 16 Pro Max
Geekbench AI Score
5837
Single Precision Score
6657
Half Precision Score
6167
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 12:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.0 IPS |
|
|
Image Classification (Q)
|
97% |
2834
529.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3266
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4425
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4439
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15784
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16487
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15770
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3223
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3477
275.8 IPS |
|
|
Object Detection (Q)
|
91% |
2878
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
8205
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
11061
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
7704
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14075
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15318
118.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12772
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32851
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38271
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37490
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8029
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8437
311.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6851
253.0 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
923
16.0 IPS |
