iPhone 16 Pro Max
Geekbench AI Score
4502
Single Precision Score
32936
Half Precision Score
44425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | September 21 2025 03:03 AM |
| Views | 5 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
13892
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
17628
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18119
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23882
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8457
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
141504
165.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
265632
311.3 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
15940
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21811
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39520
469.6 IPS |
|
|
Face Detection (Q)
|
100% |
53118
631.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94117
725.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
154258
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
23111
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244872
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296611
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51533
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79598
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6177
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6155
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9127
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10310
178.2 IPS |
