iPhone18,2
Geekbench AI Score
5150
Single Precision Score
35814
Half Precision Score
48914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | October 14 2025 08:39 AM |
| Views | 6 |
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% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
16089
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22361
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19863
322.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25737
417.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10350
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
156745
182.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285716
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
17607
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24988
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4588
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
41239
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
50386
598.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103062
794.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
169297
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24624
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
255658
328.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350185
451.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56290
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87419
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5949
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10818
186.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12394
214.2 IPS |
