iPhone18,2
Geekbench AI Score
5212
Single Precision Score
8484
Half Precision Score
6711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 02:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3785
703.9 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11011
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19905
23.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16966
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4231
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8563
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4562
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14450
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10286
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25331
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39501
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32184
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5693
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9598
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9495
164.1 IPS |
