iPhone 16 Pro Max
Geekbench AI Score
4284
Single Precision Score
7253
Half Precision Score
5775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | waltersmat4444 |
| Upload Date | October 17 2025 08:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2589
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3091
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8080
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
15767
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13301
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3509
279.4 IPS |
|
|
Object Detection (Q)
|
94% |
2508
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6587
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3721
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7415
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12757
98.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8772
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19746
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33208
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27045
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6960
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4743
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6118
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.7 IPS |
