iPhone 16 Pro Max
Geekbench AI Score
4529
Single Precision Score
7698
Half Precision Score
6139
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | August 17 2025 03:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9005
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17582
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15011
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4051
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8059
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13896
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9548
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19525
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36360
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29713
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7291
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5081
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4131
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7310
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7202
124.5 IPS |
