iPhone 16 Pro Max
Geekbench AI Score
4547
Single Precision Score
33249
Half Precision Score
44948
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 19 2025 09:06 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
14304
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
17865
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18111
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23506
381.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9357
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152148
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290374
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
15961
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21709
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
39522
469.6 IPS |
|
|
Face Detection (Q)
|
100% |
53411
634.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95820
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
154117
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21948
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246654
317.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299158
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5506
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49229
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80994
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4075
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9057
156.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9940
171.8 IPS |
