iPhone18,2
Geekbench AI Score
9097
Single Precision Score
16938
Half Precision Score
17536
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Esq255 |
| Upload Date | October 03 2025 02:47 AM |
| Views | 7 |
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% |
4313
802.0 IPS |
|
|
Image Classification (HP)
|
100% |
8088
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7604
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9529
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10525
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20329
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54141
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59029
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8053
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11733
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
23068
274.1 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18021
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35472
273.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38608
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43446
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96074
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119973
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18922
698.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22476
829.9 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6399
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6347
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6093
105.3 IPS |
