iPhone 16 Pro Max
Geekbench AI Score
4396
Single Precision Score
32999
Half Precision Score
44517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:10 PM |
| Views | 1 |
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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
14634
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18612
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18105
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23634
383.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8386
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
144107
168.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
286477
335.8 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
15761
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21536
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
40014
475.4 IPS |
|
|
Face Detection (Q)
|
100% |
53542
636.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7723
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94092
724.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
150952
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20936
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244195
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294102
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5143
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50486
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77624
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8849
152.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9934
171.7 IPS |
