iPhone 16 Pro Max
Geekbench AI Score
4383
Single Precision Score
33082
Half Precision Score
44337
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 23 2025 09:51 AM |
| Views | 42 |
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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
14774
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18010
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23365
378.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8478
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
142345
166.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
280805
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
15598
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21205
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39715
471.9 IPS |
|
|
Face Detection (Q)
|
100% |
52353
622.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7747
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94222
725.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
152634
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20087
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244013
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
294257
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51215
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79056
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6219
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6135
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9071
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10274
177.5 IPS |
