iPhone18,2
Geekbench AI Score
5058
Single Precision Score
36290
Half Precision Score
49313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:19 AM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
16440
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21039
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20056
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25573
414.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153516
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
297245
348.4 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
17684
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25020
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41206
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
55149
655.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8263
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105470
812.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167855
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24196
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259092
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
352578
455.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5491
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55609
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85135
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6372
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11022
189.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12004
207.4 IPS |
