iPhone18,2
Geekbench AI Score
9160
Single Precision Score
16613
Half Precision Score
17187
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 20 2025 06:38 AM |
| Views | 5 |
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% |
4276
795.2 IPS |
|
|
Image Classification (HP)
|
100% |
7910
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7377
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6111
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9673
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10612
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20430
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54231
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59410
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8173
648.3 IPS |
|
|
Object Detection (Q)
|
93% |
8029
640.6 IPS |
|
|
Face Detection (SP)
|
100% |
11865
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
23161
275.2 IPS |
|
|
Face Detection (Q)
|
100% |
18351
218.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18059
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35642
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38868
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44316
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96543
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
121058
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10420
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19019
702.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22499
830.8 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4871
84.2 IPS |
