iPhone18,2
Geekbench AI Score
9113
Single Precision Score
16837
Half Precision Score
17548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4284
796.6 IPS |
|
|
Image Classification (HP)
|
100% |
8048
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7450
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9536
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10591
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20303
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53929
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59254
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8114
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
11831
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
23148
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17944
213.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17926
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35355
272.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38798
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43553
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95415
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119866
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19249
710.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22901
845.6 IPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6347
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5746
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
