iPhone18,2
Geekbench AI Score
9101
Single Precision Score
16912
Half Precision Score
17505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chaunton |
| Upload Date | December 28 2025 06:43 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4257
791.8 IPS |
|
|
Image Classification (HP)
|
100% |
8087
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9533
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10576
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20306
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54039
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59221
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8068
640.0 IPS |
|
|
Object Detection (Q)
|
93% |
8057
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11622
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17876
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17965
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35357
272.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38033
296.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43669
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96146
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120569
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18894
697.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22531
831.9 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5055
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5986
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
