iPhone18,2
Geekbench AI Score
5126
Single Precision Score
8215
Half Precision Score
6518
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3605
670.5 IPS |
|
|
Image Classification (Q)
|
96% |
2420
451.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10779
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18689
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16207
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4111
327.3 IPS |
|
|
Object Detection (Q)
|
94% |
2809
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8430
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4429
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8429
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13946
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9763
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23938
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37240
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30505
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6237
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6172
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5171
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9070
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9273
160.2 IPS |
