iPhone18,2
Geekbench AI Score
4898
Single Precision Score
35804
Half Precision Score
48999
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:44 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
16213
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22078
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19831
321.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24348
394.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9330
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
144644
168.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275404
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17432
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25227
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
40727
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
56748
674.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8237
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102663
791.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161937
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23831
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
255520
328.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350769
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56275
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83404
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6351
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11186
192.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12486
215.8 IPS |
