iPhone18,2
Geekbench AI Score
5098
Single Precision Score
8248
Half Precision Score
6533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 17 2025 08:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3624
673.9 IPS |
|
|
Image Classification (Q)
|
96% |
2453
458.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10513
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18903
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16104
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.1 IPS |
|
|
Object Detection (HP)
|
97% |
4111
327.3 IPS |
|
|
Object Detection (Q)
|
94% |
2822
225.0 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8382
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4377
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14021
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9986
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23233
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37228
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30387
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4874
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6085
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6054
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9484
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
