iPhone18,2
Geekbench AI Score
5163
Single Precision Score
8400
Half Precision Score
6638
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:14 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% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3746
696.7 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10944
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19458
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16810
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2935
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8555
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4579
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8450
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14274
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10174
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24479
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37755
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31337
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5928
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9500
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9136
157.9 IPS |
