iPhone18,2
Geekbench AI Score
5165
Single Precision Score
36194
Half Precision Score
48525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | November 01 2025 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2375
441.6 IPS |
|
|
Image Classification (HP)
|
100% |
16137
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21574
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20449
331.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25561
414.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10830
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160514
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298657
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.0 IPS |
|
|
Object Detection (HP)
|
100% |
17783
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25014
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4732
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
39963
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
48435
575.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105580
813.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163957
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24757
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259455
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350494
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56199
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86140
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
6005
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6022
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11087
191.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12170
210.3 IPS |
