iPhone18,2
Geekbench AI Score
4947
Single Precision Score
35912
Half Precision Score
49074
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:35 AM |
| Views | 2 |
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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16149
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21521
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19137
310.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24001
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9486
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150612
175.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
277107
324.8 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
17438
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25311
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4374
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
40990
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
57652
685.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8282
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104510
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164837
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23353
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
258054
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
349777
451.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55187
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84009
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6508
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4432
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11175
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12304
212.6 IPS |
