iPhone 16 Pro Max
Geekbench AI Score
4560
Single Precision Score
7731
Half Precision Score
6139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MikeSW17 |
| Upload Date | September 09 2025 11:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2265
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3319
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9000
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18128
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14993
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7220
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14219
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9753
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19675
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36941
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30090
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7271
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4176
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7162
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7226
124.9 IPS |
