iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
9027
Single Precision Score
16609
Half Precision Score
17226
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 26 2025 10:28 PM |
| Views | 13 |
| Notes | 512GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4225
785.7 IPS |
|
|
Image Classification (HP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7417
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5996
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9412
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10425
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20070
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53045
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57281
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4379
347.4 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8031
640.7 IPS |
|
|
Face Detection (SP)
|
100% |
11543
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23127
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17849
212.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17785
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34602
266.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37881
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43273
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93577
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118688
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17903
661.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22289
823.0 IPS |
|
|
Text Classification (SP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6162
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5951
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5843
101.0 IPS |
