iPhone18,2
Geekbench AI Score
5144
Single Precision Score
36212
Half Precision Score
49312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 05:53 PM |
| Views | 1 |
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% |
2364
439.6 IPS |
|
|
Image Classification (HP)
|
100% |
16243
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22437
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19945
323.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25583
414.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10103
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
155877
181.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293576
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
17499
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24962
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41196
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
50425
599.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8526
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104744
807.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
172521
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23990
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
256975
330.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352618
455.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5667
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55170
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84974
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11093
191.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12035
208.0 IPS |
