iPhone18,2
Geekbench AI Score
9071
Single Precision Score
16435
Half Precision Score
16967
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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
791.7 IPS |
|
|
Image Classification (HP)
|
100% |
7967
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7397
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6056
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9503
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10482
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20152
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53583
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58300
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
4379
347.4 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8043
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
11539
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
23093
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17624
209.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17773
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35370
272.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37851
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43068
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94429
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119037
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18521
683.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22336
824.8 IPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4845
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4828
83.4 IPS |
