iPhone 16 Pro Max
Geekbench AI Score
4365
Single Precision Score
7473
Half Precision Score
5995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.9 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2767
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3173
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16892
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14420
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3685
293.4 IPS |
|
|
Object Detection (Q)
|
94% |
2553
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7697
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13075
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9292
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20792
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35778
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28827
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4896
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6207
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6256
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6966
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7028
121.5 IPS |
