iPhone18,2
Geekbench AI Score
9056
Single Precision Score
16519
Half Precision Score
17077
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:42 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4279
795.7 IPS |
|
|
Image Classification (HP)
|
100% |
8048
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7433
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9618
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10587
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20408
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54158
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59508
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8083
644.8 IPS |
|
|
Face Detection (SP)
|
100% |
11804
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
23087
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17979
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18043
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35662
274.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38897
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43968
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96454
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120603
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10425
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19052
703.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22572
833.5 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4830
83.5 IPS |
