iPhone18,2
Geekbench AI Score
9106
Single Precision Score
16859
Half Precision Score
17469
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4261
792.4 IPS |
|
|
Image Classification (HP)
|
100% |
8042
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7551
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6049
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9522
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10517
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20189
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53431
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58475
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8130
644.9 IPS |
|
|
Object Detection (Q)
|
93% |
8126
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
11809
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
23097
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17983
213.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17844
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35623
274.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38141
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43268
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94238
121.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119700
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18644
688.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22462
829.4 IPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6445
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6341
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5986
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6000
103.7 IPS |
