iPhone18,2
Geekbench AI Score
5098
Single Precision Score
8356
Half Precision Score
6574
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:30 PM |
| Views | 1 |
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% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
3745
696.4 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10357
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18550
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15876
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2520
199.9 IPS |
|
|
Object Detection (HP)
|
97% |
4176
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2826
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8432
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4343
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14166
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10022
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24518
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37511
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30866
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6501
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6442
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9373
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9346
161.5 IPS |
