iPhone18,2
Geekbench AI Score
5019
Single Precision Score
36346
Half Precision Score
49357
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2311
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
16487
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22258
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20124
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24157
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151815
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
284830
333.8 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
17495
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24733
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4189
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
41207
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
55463
659.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104329
803.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170613
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23654
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
253180
325.5 IPS |
|
|
Style Transfer (Q)
|
96% |
346095
446.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57148
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85801
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6488
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5313
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11369
195.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12427
214.8 IPS |
