iPhone18,2
Geekbench AI Score
5174
Single Precision Score
8293
Half Precision Score
6602
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Possum |
| Upload Date | November 08 2025 08:20 PM |
| Views | 3 |
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% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.8 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10927
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19173
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16527
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
97% |
4141
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2862
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8326
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4475
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14157
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10053
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37275
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30953
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6063
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9275
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9414
162.7 IPS |
