iPhone18,2
Geekbench AI Score
9051
Single Precision Score
16906
Half Precision Score
17505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 12:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4245
789.4 IPS |
|
|
Image Classification (HP)
|
100% |
8116
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7520
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9620
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20437
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54328
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59359
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4415
350.2 IPS |
|
|
Object Detection (HP)
|
100% |
8162
647.4 IPS |
|
|
Object Detection (Q)
|
93% |
8131
648.6 IPS |
|
|
Face Detection (SP)
|
100% |
11870
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
23275
276.6 IPS |
|
|
Face Detection (Q)
|
100% |
18062
214.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18105
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35527
273.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39180
305.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43676
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96106
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120243
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10417
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19018
702.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22588
834.1 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4944
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6044
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6020
104.0 IPS |
