iPhone18,2
Geekbench AI Score
5136
Single Precision Score
35896
Half Precision Score
48666
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 07:14 AM |
| Views | 3 |
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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16067
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22097
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19941
323.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25377
411.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10306
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149869
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
295642
346.5 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17538
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25238
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4610
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
41100
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
51571
612.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104654
806.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
163862
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24958
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258287
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351118
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56161
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85774
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11060
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12152
210.0 IPS |
