iPhone18,2
Geekbench AI Score
4875
Single Precision Score
36037
Half Precision Score
49087
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:51 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 | 4.11 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
16276
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22272
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19896
322.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23833
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9601
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
151131
176.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
280792
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
17566
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25099
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4203
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
40985
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
55469
659.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8245
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103908
800.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170407
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23462
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258229
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
346991
447.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5220
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56575
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84265
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6282
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10996
189.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12425
214.7 IPS |
