iPhone 16 Pro Max
Geekbench AI Score
3799
Single Precision Score
3673
Half Precision Score
4844
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 04:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3944
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4297
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5378
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
8854
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (Q)
|
92% |
3050
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
6327
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
6654
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9469
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8803
67.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10872
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16583
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12329
15.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21107
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4271
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4136
152.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5214
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4500
6.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1145
19.8 IPS |
