iPhone18,2
Geekbench AI Score
5129
Single Precision Score
36148
Half Precision Score
49898
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pdfanberlin |
| Upload Date | October 26 2025 06:37 PM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
16188
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22294
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19887
322.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25508
413.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10244
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153436
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
284920
333.9 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
17461
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25373
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40694
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
56443
670.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104810
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170487
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24483
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258052
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
348367
449.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55326
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86433
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6504
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6435
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11154
192.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12483
215.7 IPS |
