iPhone18,2
Geekbench AI Score
5065
Single Precision Score
8310
Half Precision Score
6490
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10148
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18828
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14906
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2782
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
4392
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
8185
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4292
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13129
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9744
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24325
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37670
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30776
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4894
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9521
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9339
161.4 IPS |
