iPhone 16 Pro Max
Geekbench AI Score
4478
Single Precision Score
33128
Half Precision Score
45116
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
14205
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
19074
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23680
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8711
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
150462
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
289120
338.9 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
15582
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21534
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
39714
471.9 IPS |
|
|
Face Detection (Q)
|
100% |
54216
644.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94065
724.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
156876
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
20993
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244357
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294184
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51216
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78745
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9082
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10215
176.5 IPS |
