iPhone 16 Pro Max
Geekbench AI Score
3601
Single Precision Score
26522
Half Precision Score
35742
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gkoblavi |
| Upload Date | October 19 2025 12:11 AM |
| Views | 4 |
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% |
1639
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
12599
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
16368
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14749
239.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19780
320.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8098
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
97810
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
187812
220.1 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
13884
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17360
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
29643
352.2 IPS |
|
|
Face Detection (Q)
|
100% |
38613
458.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6810
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
76936
592.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
130876
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19409
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
175142
225.1 IPS |
|
|
Style Transfer (Q)
|
96% |
217397
280.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39822
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61811
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5043
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5016
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8509
146.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9463
163.5 IPS |
