iPhone18,2
Geekbench AI Score
5146
Single Precision Score
8355
Half Precision Score
6598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:35 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.4 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3433
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10862
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19013
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16396
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
97% |
4136
329.3 IPS |
|
|
Object Detection (Q)
|
94% |
2867
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8490
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4450
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8447
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14295
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9963
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24635
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37928
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31161
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6999
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6102
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9638
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9521
164.5 IPS |
