iPhone 16 Pro Max
Geekbench AI Score
4289
Single Precision Score
33152
Half Precision Score
45464
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1994
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
14326
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
19097
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18081
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23603
382.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8287
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
140552
164.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
288040
337.6 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
100% |
15434
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
20884
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
39452
468.8 IPS |
|
|
Face Detection (Q)
|
100% |
53676
637.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7575
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93665
721.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
152854
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20003
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242768
312.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298455
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5023
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50624
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78506
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10738
185.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12444
215.0 IPS |
