iPhone18,2
Geekbench AI Score
5050
Single Precision Score
8247
Half Precision Score
6526
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2318
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
3731
693.8 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10541
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19003
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16272
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2546
202.0 IPS |
|
|
Object Detection (HP)
|
97% |
4130
328.8 IPS |
|
|
Object Detection (Q)
|
94% |
2847
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8259
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14060
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9826
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23975
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37301
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30737
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6841
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8996
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9506
164.3 IPS |
