iPhone18,2
Geekbench AI Score
5172
Single Precision Score
36437
Half Precision Score
49816
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 02:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 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
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
16311
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22955
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19913
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25647
415.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10533
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
157172
183.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292880
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
17735
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25574
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4621
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
41002
487.2 IPS |
|
|
Face Detection (Q)
|
100% |
52385
622.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8477
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104729
806.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171801
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24619
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258881
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
352144
454.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56704
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90207
3.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3343
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6220
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11623
200.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12515
216.3 IPS |
