iPhone18,2
Geekbench AI Score
8954
Single Precision Score
16130
Half Precision Score
16640
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4128
767.6 IPS |
|
|
Image Classification (HP)
|
100% |
7401
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6877
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6150
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9647
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10547
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20485
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54470
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59968
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8025
636.6 IPS |
|
|
Object Detection (Q)
|
93% |
8013
639.3 IPS |
|
|
Face Detection (SP)
|
100% |
11762
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
23130
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18234
216.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18107
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35748
275.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38448
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44639
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96505
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
121373
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18554
685.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21882
808.0 IPS |
|
|
Text Classification (SP)
|
100% |
3150
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5747
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4366
75.4 IPS |
