iPhone18,2
Geekbench AI Score
5141
Single Precision Score
8358
Half Precision Score
6592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | December 10 2025 08:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.5 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3415
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10489
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18983
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16370
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
97% |
4144
329.9 IPS |
|
|
Object Detection (Q)
|
94% |
2828
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8533
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4441
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8460
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14275
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10094
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24687
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37782
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31248
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6982
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5349
92.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9543
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9296
160.6 IPS |
