iPhone 16 Pro Max
Geekbench AI Score
3593
Single Precision Score
26887
Half Precision Score
36233
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | AndrewReynosa |
| Upload Date | September 17 2025 01:18 AM |
| Views | 4 |
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% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
12998
2.42 KIPS |
|
|
Image Classification (Q)
|
97% |
16343
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14669
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19509
316.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8007
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
97827
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
187245
219.5 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
13919
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18237
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2250
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
29597
351.7 IPS |
|
|
Face Detection (Q)
|
100% |
38907
462.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6807
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77314
595.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
131633
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
19341
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
176894
227.4 IPS |
|
|
Style Transfer (Q)
|
96% |
217494
280.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41126
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63199
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8467
145.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9470
163.6 IPS |
