iPhone18,2
Geekbench AI Score
9125
Single Precision Score
17037
Half Precision Score
17591
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 02:27 AM |
| Views | 1 |
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% |
4278
795.5 IPS |
|
|
Image Classification (HP)
|
100% |
8109
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7528
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6068
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9531
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10559
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20294
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53955
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58830
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8094
645.7 IPS |
|
|
Face Detection (SP)
|
100% |
11844
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
23111
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18030
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35661
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38708
302.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43946
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96002
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119840
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19284
712.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22547
832.6 IPS |
|
|
Text Classification (SP)
|
100% |
3540
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6699
8.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6603
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5986
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6044
104.4 IPS |
