iPhone18,2
Geekbench AI Score
5120
Single Precision Score
8354
Half Precision Score
6562
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 02:18 AM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10387
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19218
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16228
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
97% |
4143
329.8 IPS |
|
|
Object Detection (Q)
|
94% |
2858
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14173
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9864
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24317
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37477
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30852
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5525
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7043
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6206
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9337
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
