iPhone18,2
Geekbench AI Score
5181
Single Precision Score
36384
Half Precision Score
49326
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
16204
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22471
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20187
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25630
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10659
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159428
186.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
295417
346.2 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
18398
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25175
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
40805
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
54529
647.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104503
805.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164881
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24931
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259044
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352676
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56185
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85541
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6142
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11116
191.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12162
210.2 IPS |
