iPhone18,2
Geekbench AI Score
9050
Single Precision Score
16450
Half Precision Score
16963
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4282
796.3 IPS |
|
|
Image Classification (HP)
|
100% |
8018
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7503
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6017
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9511
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10489
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20218
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53275
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58033
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
4391
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
8258
655.0 IPS |
|
|
Object Detection (Q)
|
93% |
8034
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11676
138.7 IPS |
|
|
Face Detection (HP)
|
100% |
23097
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17879
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35663
274.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38670
301.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43136
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95422
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119226
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10420
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19012
702.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22319
824.1 IPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6205
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4659
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4690
81.1 IPS |
