iPhone18,2
Geekbench AI Score
9064
Single Precision Score
16490
Half Precision Score
17034
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 04:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4245
789.4 IPS |
|
|
Image Classification (HP)
|
100% |
7938
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7424
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6091
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9596
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10574
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20395
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54139
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58686
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.4 IPS |
|
|
Object Detection (Q)
|
93% |
8009
639.0 IPS |
|
|
Face Detection (SP)
|
100% |
11770
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
23116
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18233
216.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17979
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35489
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38476
300.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43597
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95743
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120978
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18796
694.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22372
826.1 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6101
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5164
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4814
83.2 IPS |
