iPhone18,2
Geekbench AI Score
5139
Single Precision Score
8431
Half Precision Score
6727
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:46 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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3807
708.0 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3454
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10930
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19756
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16771
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
97% |
4242
337.7 IPS |
|
|
Object Detection (Q)
|
94% |
2946
234.8 IPS |
|
|
Face Detection (SP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8536
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4598
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8632
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14377
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9952
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24713
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37051
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31875
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6957
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6198
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6518
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9557
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9503
164.2 IPS |
