iPhone18,2
Geekbench AI Score
5124
Single Precision Score
8324
Half Precision Score
6554
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 05:39 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 | 4.25 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% |
3768
700.7 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10499
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18817
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16145
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2832
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8463
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4372
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14084
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9953
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24446
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38397
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31216
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6834
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6021
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9299
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9302
160.8 IPS |
