iPhone18,2
Geekbench AI Score
9007
Single Precision Score
16203
Half Precision Score
16920
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | October 07 2025 07:47 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4202
781.4 IPS |
|
|
Image Classification (HP)
|
100% |
8056
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5923
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9383
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10316
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20014
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
52958
61.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
57330
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.6 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11505
136.7 IPS |
|
|
Face Detection (HP)
|
100% |
22624
268.8 IPS |
|
|
Face Detection (Q)
|
100% |
17713
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17749
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34202
263.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37826
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43303
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93357
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118622
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10390
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18032
665.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22149
817.9 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4781
82.6 IPS |
