iPhone18,2
Geekbench AI Score
5231
Single Precision Score
8558
Half Precision Score
6663
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | firecall |
| Upload Date | October 16 2025 01:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3477
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10660
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19491
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16614
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
97% |
4185
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2869
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8498
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10094
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24756
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38406
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31590
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5748
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7059
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6618
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6064
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9936
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9750
168.5 IPS |
