iPhone18,2
Geekbench AI Score
9072
Single Precision Score
16946
Half Precision Score
17525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4126
767.3 IPS |
|
|
Image Classification (HP)
|
100% |
8043
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7433
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6059
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9594
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10532
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20291
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53829
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58511
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8105
646.6 IPS |
|
|
Face Detection (SP)
|
100% |
11795
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
23129
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17973
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18086
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35642
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
39247
306.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43407
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96395
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120187
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10421
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19028
702.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22632
835.7 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6333
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6059
104.7 IPS |
