iPhone18,2
Geekbench AI Score
9065
Single Precision Score
16645
Half Precision Score
16938
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jamesjingyi |
| Upload Date | October 23 2025 12:15 AM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4336
806.3 IPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7524
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6094
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9557
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10552
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20355
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54390
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59439
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8128
648.4 IPS |
|
|
Face Detection (SP)
|
100% |
11907
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
23205
275.7 IPS |
|
|
Face Detection (Q)
|
100% |
17971
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18044
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35511
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
39158
305.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44020
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95888
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119913
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10435
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19155
707.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22511
831.2 IPS |
|
|
Text Classification (SP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6452
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4457
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4964
85.8 IPS |
