iPhone 16 Pro Max
Geekbench AI Score
4582
Single Precision Score
33243
Half Precision Score
45049
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | August 03 2025 05:30 AM |
| Views | 12 |
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% |
1998
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
13516
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
18397
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18138
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23642
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9129
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
150825
176.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
286741
336.1 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
15310
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
21047
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
39507
469.4 IPS |
|
|
Face Detection (Q)
|
100% |
52947
629.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8164
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93834
722.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
151517
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22246
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
243763
313.4 IPS |
|
|
Style Transfer (Q)
|
96% |
292307
377.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49608
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76900
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3631
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
5969
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4114
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10881
187.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12343
213.3 IPS |
