iPhone18,2
Geekbench AI Score
5225
Single Precision Score
36152
Half Precision Score
49456
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 11:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
16121
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22489
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20208
327.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25792
418.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10832
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
159863
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297863
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
17210
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25251
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41061
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
55571
660.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105010
809.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161457
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25368
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258982
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
352716
455.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56312
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87217
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6058
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10986
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12000
207.4 IPS |
