iPhone18,2
Geekbench AI Score
5124
Single Precision Score
8284
Half Precision Score
6525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:23 PM |
| 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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
3786
704.2 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10354
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19023
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16208
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
97% |
4178
332.6 IPS |
|
|
Object Detection (Q)
|
94% |
2867
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4324
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14029
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9845
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24351
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37577
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30747
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5425
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3592
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6042
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5261
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9253
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9419
162.8 IPS |
