iPhone18,2
Geekbench AI Score
5071
Single Precision Score
8349
Half Precision Score
6522
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:34 AM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3753
698.0 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10401
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18990
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16127
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (HP)
|
97% |
4167
331.8 IPS |
|
|
Object Detection (Q)
|
94% |
2857
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14119
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9935
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24258
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37849
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30808
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4929
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9637
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9245
159.8 IPS |
