iPhone18,2
Geekbench AI Score
4767
Single Precision Score
34879
Half Precision Score
48944
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 12:00 AM |
| Views | 1 |
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% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
16323
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22712
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19514
316.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24116
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9662
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151728
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
295130
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
100% |
17941
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
24644
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
41129
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
56792
674.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6485
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98749
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164492
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
19049
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
253900
326.4 IPS |
|
|
Style Transfer (Q)
|
96% |
348022
449.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5272
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56613
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84414
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
5001
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6198
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10529
181.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11642
201.2 IPS |
