iPhone 16 Pro Max
Geekbench AI Score
5874
Single Precision Score
6776
Half Precision Score
6493
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | August 03 2025 06:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2904
540.0 IPS |
|
|
Image Classification (HP)
|
100% |
2316
430.6 IPS |
|
|
Image Classification (Q)
|
96% |
3007
561.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4260
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4830
78.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4661
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14849
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17499
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16871
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (HP)
|
100% |
3305
262.2 IPS |
|
|
Object Detection (Q)
|
92% |
3116
248.8 IPS |
|
|
Face Detection (SP)
|
100% |
7112
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10248
121.8 IPS |
|
|
Face Detection (Q)
|
100% |
8049
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12960
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14797
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13699
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30532
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38777
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38199
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7371
272.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7912
292.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6518
240.7 IPS |
|
|
Text Classification (SP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1099
19.0 IPS |
