iPhone18,2
Geekbench AI Score
9135
Single Precision Score
16487
Half Precision Score
16976
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:33 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% |
4293
798.4 IPS |
|
|
Image Classification (HP)
|
100% |
7993
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7440
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9578
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10560
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20237
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53518
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58761
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8106
643.0 IPS |
|
|
Object Detection (Q)
|
93% |
8057
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11891
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
23002
273.3 IPS |
|
|
Face Detection (Q)
|
100% |
17975
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17957
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35655
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38637
301.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43544
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96237
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119943
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18673
689.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22508
831.1 IPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6445
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4823
83.3 IPS |
