iPhone18,2
Geekbench AI Score
5094
Single Precision Score
8329
Half Precision Score
6542
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 05:46 PM |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3742
696.0 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18908
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16039
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
97% |
4127
328.6 IPS |
|
|
Object Detection (Q)
|
94% |
2825
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8216
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4251
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8368
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13987
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24152
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37801
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30790
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5251
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9467
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9304
160.8 IPS |
