iPhone18,2
Geekbench AI Score
4998
Single Precision Score
8228
Half Precision Score
6482
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riussi |
| Upload Date | December 08 2025 07:44 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.8 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10105
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17983
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15442
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
4000
318.5 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
8223
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13853
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9633
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24060
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37478
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30594
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6948
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9202
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9589
165.7 IPS |
