iPhone18,2
Geekbench AI Score
5048
Single Precision Score
36017
Half Precision Score
48694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 01:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
16227
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21380
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19975
323.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25581
414.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10104
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153364
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293534
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
17535
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
23932
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
41159
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56909
676.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105020
809.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170025
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24255
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258386
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350039
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57234
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83850
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5947
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5121
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10712
184.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11550
199.6 IPS |
