iPhone18,2
Geekbench AI Score
5170
Single Precision Score
36150
Half Precision Score
49232
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
16370
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22247
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20492
332.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25822
418.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10840
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
159877
186.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294743
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.1 IPS |
|
|
Object Detection (HP)
|
100% |
17580
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24897
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
40889
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
54063
642.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104355
804.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166673
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24599
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259676
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
353411
456.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5724
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56364
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85683
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10973
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12467
215.5 IPS |
