iPhone18,2
Geekbench AI Score
4984
Single Precision Score
35823
Half Precision Score
49059
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 05:50 PM |
| Views | 1 |
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% |
2317
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
16155
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21280
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19770
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24869
403.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9455
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148434
173.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
275968
323.5 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
17400
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25297
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
40904
486.0 IPS |
|
|
Face Detection (Q)
|
100% |
54999
653.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8346
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102804
792.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165998
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23573
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
252419
324.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351330
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55536
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85315
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6458
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11175
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12370
213.8 IPS |
