iPhone18,2
Geekbench AI Score
9149
Single Precision Score
16539
Half Precision Score
17091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4308
801.1 IPS |
|
|
Image Classification (HP)
|
100% |
8185
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7575
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6069
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9552
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10572
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20247
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53933
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58626
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
4411
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
8247
654.2 IPS |
|
|
Object Detection (Q)
|
93% |
8062
643.2 IPS |
|
|
Face Detection (SP)
|
100% |
11824
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23105
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17958
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35531
273.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38768
302.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43362
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95725
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119466
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18565
685.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22468
829.6 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4679
80.9 IPS |
