iPhone18,2
Geekbench AI Score
5137
Single Precision Score
8341
Half Precision Score
6647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.7 IPS |
|
|
Image Classification (Q)
|
96% |
2445
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10793
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19154
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16491
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
4140
329.6 IPS |
|
|
Object Detection (Q)
|
94% |
2861
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4439
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14302
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9953
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24481
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38021
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31277
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5470
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6071
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6577
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5346
92.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9394
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9415
162.7 IPS |
