iPhone 16 Pro Max
Geekbench AI Score
5736
Single Precision Score
6828
Half Precision Score
6078
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | March 06 2025 10:21 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2997
557.3 IPS |
|
|
Image Classification (HP)
|
100% |
3004
558.6 IPS |
|
|
Image Classification (Q)
|
97% |
2901
541.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3325
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4422
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15832
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16523
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15934
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3161
250.7 IPS |
|
|
Object Detection (HP)
|
100% |
3714
294.6 IPS |
|
|
Object Detection (Q)
|
91% |
2833
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
7841
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
10715
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
7125
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13282
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14418
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12631
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33051
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37710
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35485
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8052
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8447
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6817
251.7 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5887
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
934
16.1 IPS |
