iPhone 16 Pro Max
Geekbench AI Score
4560
Single Precision Score
33336
Half Precision Score
44869
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 02:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
14770
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18870
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18085
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23509
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9045
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151656
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
288839
338.5 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
100% |
15773
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21347
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39962
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
53467
635.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8189
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93806
722.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
156807
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21176
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244527
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293901
379.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5475
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51052
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78532
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9020
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10227
176.7 IPS |
