iPhone 16 Pro Max
Geekbench AI Score
4568
Single Precision Score
7716
Half Precision Score
6197
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 09:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3466
644.5 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9437
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18294
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15621
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3568
284.0 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7992
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13742
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9670
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22299
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37889
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29914
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5453
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5057
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6200
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7353
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7336
126.8 IPS |
