iPhone18,2
Geekbench AI Score
4828
Single Precision Score
7920
Half Precision Score
6236
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 09:53 PM |
| Views | 4 |
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 | 4.09 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.3 IPS |
|
|
Image Classification (Q)
|
96% |
2391
446.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3150
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9167
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17206
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14621
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
97% |
3883
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2563
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7680
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
3951
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7963
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13345
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9275
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22831
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36632
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29296
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6768
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4921
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6446
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8660
149.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9257
160.0 IPS |
