iPhone 16 Pro Max
Geekbench AI Score
4659
Single Precision Score
7870
Half Precision Score
6277
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | uch |
| Upload Date | October 09 2025 01:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3319
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9571
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18962
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15710
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2643
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4218
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8361
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14429
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9917
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20788
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37893
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31180
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5532
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7279
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6052
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7366
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7425
128.3 IPS |
