iPhone 16 Pro Max
Geekbench AI Score
4226
Single Precision Score
33018
Half Precision Score
44543
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 18 2025 05:00 AM |
| Views | 12 |
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% |
1950
362.6 IPS |
|
|
Image Classification (HP)
|
100% |
14755
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18983
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18105
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22415
363.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7903
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
138540
161.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
273902
321.0 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
15882
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21495
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
39696
471.7 IPS |
|
|
Face Detection (Q)
|
100% |
53397
634.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7571
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93403
719.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
155818
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
19864
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
242209
311.4 IPS |
|
|
Style Transfer (Q)
|
96% |
293876
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50909
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81012
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8950
154.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9686
167.4 IPS |
