iPhone18,2
Geekbench AI Score
5123
Single Precision Score
8281
Half Precision Score
6526
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 05:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2338
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (Q)
|
96% |
2466
460.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3421
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10877
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19347
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16205
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4178
332.6 IPS |
|
|
Object Detection (Q)
|
94% |
2856
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8288
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4435
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14156
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9982
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23923
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37409
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30841
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6964
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5952
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5455
94.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9260
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9148
158.1 IPS |
