iPhone18,2
Geekbench AI Score
5144
Single Precision Score
8318
Half Precision Score
6579
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2308
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
3709
689.8 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10672
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19437
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16440
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2867
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
8483
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4449
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8380
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14170
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10034
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24561
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37594
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31034
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6965
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4911
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5945
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5343
92.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9421
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9219
159.3 IPS |
