iPhone18,2
Geekbench AI Score
5161
Single Precision Score
8393
Half Precision Score
6617
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 02:51 PM |
| Views | 1 |
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% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
3807
708.0 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3456
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10808
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19410
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16485
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
4230
336.7 IPS |
|
|
Object Detection (Q)
|
94% |
2909
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8463
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4428
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14434
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10203
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24778
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39231
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32199
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9174
158.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9090
157.1 IPS |
