iPhone 16 Pro Max
Geekbench AI Score
5923
Single Precision Score
6789
Half Precision Score
6663
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 11:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
96% |
2974
555.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4374
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4983
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4793
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15158
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18427
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17670
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
3355
266.1 IPS |
|
|
Object Detection (HP)
|
100% |
3445
273.3 IPS |
|
|
Object Detection (Q)
|
92% |
3248
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
7190
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
10811
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
8606
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12834
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15461
119.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14114
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31876
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39761
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38963
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7529
278.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8246
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7044
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1204
20.8 IPS |
