iPhone 16 Pro Max
Geekbench AI Score
4640
Single Precision Score
7849
Half Precision Score
6220
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | July 22 2025 09:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2045
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9430
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18711
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15782
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7493
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4155
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8234
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14451
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9685
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20750
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37554
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30811
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7334
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7243
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
