iPhone 16 Pro Max
Geekbench AI Score
4518
Single Precision Score
33094
Half Precision Score
46667
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
14951
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20878
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18432
298.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24152
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8609
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151595
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291856
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
16301
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22936
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
59162
703.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8054
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95126
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159635
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19326
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245867
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303081
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50785
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84450
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4592
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10301
177.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11502
198.8 IPS |
