iPhone18,2
Geekbench AI Score
9092
Single Precision Score
16590
Half Precision Score
17171
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 04:23 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 | 4.13 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
791.6 IPS |
|
|
Image Classification (HP)
|
100% |
8085
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7549
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6019
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9508
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10420
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20138
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53271
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58126
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4313
342.1 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8110
647.0 IPS |
|
|
Face Detection (SP)
|
100% |
11579
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
23115
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17953
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17901
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35258
271.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38596
301.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43334
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95740
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119892
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10419
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19216
709.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22434
828.4 IPS |
|
|
Text Classification (SP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6699
8.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6667
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4837
83.6 IPS |
