iPhone 16 Pro Max
Geekbench AI Score
4633
Single Precision Score
33345
Half Precision Score
46062
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | August 04 2025 04:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
15411
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20655
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18256
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24034
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9305
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152536
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291194
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
16326
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22522
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
41174
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57624
684.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8375
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95403
735.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159558
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20298
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245755
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303904
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5480
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50411
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85575
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4803
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10261
176.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11501
198.8 IPS |
