iPhone18,2
Geekbench AI Score
5005
Single Precision Score
8272
Half Precision Score
6462
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pure-spirit |
| Upload Date | October 23 2025 05:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2315
430.5 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.5 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3036
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9595
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18090
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15289
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
4103
326.6 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
8000
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
4125
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13747
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9634
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24194
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37990
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30886
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6616
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9206
159.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9246
159.8 IPS |
