iPhone18,2
Geekbench AI Score
5170
Single Precision Score
8413
Half Precision Score
6585
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 06:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
3798
706.4 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10536
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18619
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16293
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2850
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4381
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14064
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10020
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24626
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38546
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31424
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7017
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5738
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9498
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9532
164.7 IPS |
