iPhone18,2
Geekbench AI Score
5140
Single Precision Score
36254
Half Precision Score
49275
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
16558
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22806
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20187
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25471
412.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9943
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153513
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
284994
334.0 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
17740
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25403
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
41191
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
50647
601.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8362
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104898
808.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168735
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24335
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
256836
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350605
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5493
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55477
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85130
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6443
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6391
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5438
93.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10864
187.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12311
212.7 IPS |
