iPhone18,2
Geekbench AI Score
5130
Single Precision Score
8296
Half Precision Score
6557
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:21 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
3650
678.7 IPS |
|
|
Image Classification (Q)
|
96% |
2414
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10268
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19182
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16161
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
97% |
4161
331.3 IPS |
|
|
Object Detection (Q)
|
94% |
2822
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8407
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4371
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8372
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14158
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10059
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24533
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37957
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31298
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5963
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5297
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9379
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9553
165.1 IPS |
