iPhone 16 Pro Max
Geekbench AI Score
4488
Single Precision Score
33159
Half Precision Score
44519
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 10:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
14661
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18507
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18078
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23731
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8841
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
149754
174.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
287192
336.6 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
15543
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21304
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39774
472.6 IPS |
|
|
Face Detection (Q)
|
100% |
52768
627.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95173
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
150365
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
19906
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244292
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294431
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50681
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80145
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4016
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9053
155.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10006
172.9 IPS |
