iPhone18,2
Geekbench AI Score
5040
Single Precision Score
8319
Half Precision Score
6523
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 08:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.6 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10116
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18663
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15743
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (HP)
|
97% |
4144
329.9 IPS |
|
|
Object Detection (Q)
|
94% |
2781
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
8323
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4226
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13847
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9711
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24178
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37596
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30955
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5386
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7013
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6480
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9204
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9318
161.0 IPS |
