iPhone18,2
Geekbench AI Score
9016
Single Precision Score
16629
Half Precision Score
16987
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:45 AM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4259
792.0 IPS |
|
|
Image Classification (HP)
|
100% |
8029
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7546
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6039
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9524
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10532
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20149
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53252
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
58074
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4371
346.7 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8032
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11491
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
22946
272.6 IPS |
|
|
Face Detection (Q)
|
100% |
17662
209.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17816
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35540
273.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37856
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43135
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93990
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119063
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10382
383.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20540
758.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22299
823.4 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6356
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6271
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4849
83.8 IPS |
