iPhone18,2
Geekbench AI Score
5115
Single Precision Score
8388
Half Precision Score
6586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 06:59 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
3753
697.9 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10475
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18931
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16085
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2830
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14051
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9836
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24536
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38270
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31270
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5533
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6933
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4939
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6561
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6394
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9486
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9433
163.0 IPS |
