iPhone 16 Pro Max
Geekbench AI Score
4323
Single Precision Score
33375
Half Precision Score
45033
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 11:24 PM |
| Views | 2 |
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% |
1989
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
14167
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18108
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18089
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23536
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8581
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
147731
172.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285897
335.1 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
15734
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21423
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39366
467.7 IPS |
|
|
Face Detection (Q)
|
100% |
53174
631.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7525
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92019
708.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
151624
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19242
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
240350
309.0 IPS |
|
|
Style Transfer (Q)
|
96% |
293670
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50844
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75581
2.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10729
184.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12329
213.1 IPS |
