iPhone 16 Pro Max
Geekbench AI Score
5801
Single Precision Score
7019
Half Precision Score
6655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mrclwgnr |
| Upload Date | October 25 2025 01:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2853
530.5 IPS |
|
|
Image Classification (HP)
|
100% |
2677
497.9 IPS |
|
|
Image Classification (Q)
|
96% |
3097
578.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4753
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14795
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18094
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17440
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3043
241.3 IPS |
|
|
Object Detection (HP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (Q)
|
92% |
3179
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
9916
117.8 IPS |
|
|
Face Detection (Q)
|
100% |
7886
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12515
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15620
120.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13896
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30683
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39064
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37771
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8161
301.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6994
258.2 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1189
20.5 IPS |
