iPhone18,2
Geekbench AI Score
5181
Single Precision Score
8472
Half Precision Score
6707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 02:14 PM |
| 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% |
2353
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
3775
702.0 IPS |
|
|
Image Classification (Q)
|
96% |
2517
470.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10868
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19623
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16827
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
4260
339.1 IPS |
|
|
Object Detection (Q)
|
94% |
2935
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8574
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4570
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8567
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14445
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10265
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25061
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38983
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31943
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5004
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5311
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9390
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
