iPhone18,2
Geekbench AI Score
8900
Single Precision Score
16551
Half Precision Score
17002
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 06:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
8107
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7400
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9634
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10583
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20369
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54230
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59278
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8051
642.3 IPS |
|
|
Face Detection (SP)
|
100% |
11746
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23117
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17866
212.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16678
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36104
278.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39059
305.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43726
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96868
124.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120663
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10482
387.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18935
699.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22401
827.2 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6216
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4608
79.6 IPS |
