iPhone 16 Pro Max
Geekbench AI Score
4446
Single Precision Score
33223
Half Precision Score
45189
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sbossinger |
| Upload Date | August 30 2025 03:41 PM |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
14843
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
19617
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18154
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23708
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8493
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
145367
169.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
289274
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15861
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21476
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39906
474.2 IPS |
|
|
Face Detection (Q)
|
100% |
53737
638.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94458
727.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
156560
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
20767
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244519
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294994
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51494
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78506
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6201
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8998
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10173
175.8 IPS |
