iPhone18,2
Geekbench AI Score
5105
Single Precision Score
36027
Half Precision Score
48924
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 12:40 AM |
| Views | 1 |
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% |
2321
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
16447
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22604
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20125
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24741
401.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9620
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153890
179.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
287931
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
17741
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25265
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40351
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
52199
620.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104835
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166891
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25111
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259161
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
353632
456.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56263
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85192
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10970
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12461
215.3 IPS |
