iPhone18,2
Geekbench AI Score
9058
Single Precision Score
16402
Half Precision Score
16925
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:44 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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4277
795.5 IPS |
|
|
Image Classification (HP)
|
100% |
8111
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7511
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5999
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9490
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19999
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53076
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57440
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4338
344.1 IPS |
|
|
Object Detection (HP)
|
100% |
8085
641.3 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11546
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22781
270.7 IPS |
|
|
Face Detection (Q)
|
100% |
17881
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17800
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35508
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38170
298.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43100
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93808
120.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119161
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10392
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18767
693.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22301
823.5 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6307
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6250
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5100
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4697
81.2 IPS |
