iPhone18,2
Geekbench AI Score
5122
Single Precision Score
8308
Half Precision Score
6555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 06:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2296
426.9 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10204
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18795
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16202
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.0 IPS |
|
|
Object Detection (Q)
|
94% |
2838
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8426
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4389
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8430
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14222
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10022
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24783
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37892
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31315
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6208
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9331
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9231
159.5 IPS |
