iPhone18,2
Geekbench AI Score
9165
Single Precision Score
17064
Half Precision Score
17566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | November 10 2025 07:01 PM |
| Views | 2 |
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% |
4336
806.4 IPS |
|
|
Image Classification (HP)
|
100% |
8189
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7460
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6129
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9637
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10603
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20418
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54407
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59058
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8141
645.7 IPS |
|
|
Object Detection (Q)
|
93% |
8129
648.5 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23294
276.8 IPS |
|
|
Face Detection (Q)
|
100% |
18132
215.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18175
140.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35675
274.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39403
307.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43784
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96922
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
117048
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10563
390.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19350
714.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22738
839.6 IPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6407
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6000
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6049
104.5 IPS |
