iPhone18,2
Geekbench AI Score
5087
Single Precision Score
36768
Half Precision Score
50533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jiashu |
| Upload Date | September 20 2025 02:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2360
439.0 IPS |
|
|
Image Classification (HP)
|
100% |
16573
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
23539
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19720
319.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25250
409.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153307
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
277418
325.2 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
17992
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25715
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
41320
491.0 IPS |
|
|
Face Detection (Q)
|
100% |
55998
665.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104899
808.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175569
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24217
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259642
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
352878
455.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5578
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57553
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88166
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6660
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6631
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5023
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11614
200.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12626
218.2 IPS |
