iPhone18,2
Geekbench AI Score
5147
Single Precision Score
8369
Half Precision Score
6545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:36 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% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3804
707.4 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10306
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18941
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15998
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
4178
332.6 IPS |
|
|
Object Detection (Q)
|
94% |
2827
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8380
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4310
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14264
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9934
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24913
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39053
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31701
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9554
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9199
159.0 IPS |
