iPhone18,2
Geekbench AI Score
4853
Single Precision Score
35782
Half Precision Score
48823
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:41 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
16605
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22227
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19401
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23846
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9417
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148155
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
275773
323.2 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
17532
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24486
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
40308
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
55398
658.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8123
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
102396
788.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166966
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23347
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246861
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
346386
447.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55625
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84615
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6479
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4590
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11259
193.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12242
211.6 IPS |
