250608 iPhone 16 Pro Max iPhone 16 Pro Max
Geekbench AI Score
4485
Single Precision Score
7700
Half Precision Score
6164
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gethen |
| Upload Date | June 08 2025 11:53 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8847
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18188
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15270
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.1 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
7354
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4191
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7661
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14008
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9684
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23993
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37105
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30604
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5488
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6825
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5937
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6982
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6959
120.3 IPS |
