iPhone18,2
Geekbench AI Score
5112
Single Precision Score
8369
Half Precision Score
6581
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | September 20 2025 11:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10101
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19039
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15957
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4099
326.4 IPS |
|
|
Object Detection (Q)
|
94% |
2788
222.2 IPS |
|
|
Face Detection (SP)
|
100% |
4426
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14225
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9953
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24637
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37950
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31506
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6437
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9513
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9415
162.7 IPS |
