iPhone18,2
Geekbench AI Score
8988
Single Precision Score
16805
Half Precision Score
17327
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 02:41 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 | 3.51 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4211
783.1 IPS |
|
|
Image Classification (HP)
|
100% |
7908
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7386
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5942
96.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9470
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10473
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19975
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53157
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57415
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4385
347.8 IPS |
|
|
Object Detection (HP)
|
100% |
8152
646.6 IPS |
|
|
Object Detection (Q)
|
93% |
8043
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
11584
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
23099
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
18121
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17765
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35386
272.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37825
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43255
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93334
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118448
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10354
382.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18572
685.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22280
822.7 IPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6542
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6327
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5974
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
