iPhone 16 Pro Max
Geekbench AI Score
4396
Single Precision Score
32913
Half Precision Score
44819
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:56 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% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
100% |
13991
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18974
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23491
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
144671
168.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
286911
336.3 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
100% |
16015
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21172
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39730
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
53930
640.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7838
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93861
723.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
154217
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20626
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
243598
313.1 IPS |
|
|
Style Transfer (Q)
|
96% |
293978
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5317
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50553
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81162
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6134
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9018
155.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9925
171.5 IPS |
