iPhone18,2
Geekbench AI Score
5053
Single Precision Score
8287
Half Precision Score
6523
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:26 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.4 IPS |
|
|
Image Classification (Q)
|
96% |
2460
459.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3055
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9860
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18312
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (HP)
|
97% |
4078
324.7 IPS |
|
|
Object Detection (Q)
|
94% |
2731
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
8141
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4225
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8215
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14107
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9808
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24182
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37333
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31024
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5386
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6898
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5250
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9478
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9515
164.4 IPS |
