iPhone18,2
Geekbench AI Score
4957
Single Precision Score
36038
Half Precision Score
49588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 31 2025 07:57 AM |
| Views | 20 |
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% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
16517
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22352
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19456
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24653
399.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9496
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146378
170.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
282861
331.5 IPS |
|
|
Object Detection (SP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (HP)
|
100% |
17404
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25544
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4130
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
41176
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
55146
655.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8116
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104408
804.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168291
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23834
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
254633
327.3 IPS |
|
|
Style Transfer (Q)
|
96% |
349294
450.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57610
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85715
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11035
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12670
219.0 IPS |
