iPhone18,2
Geekbench AI Score
4982
Single Precision Score
36073
Half Precision Score
49630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | September 28 2025 12:31 AM |
| Views | 7 |
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% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
16176
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22533
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20435
331.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25271
409.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9662
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
148128
172.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275388
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2542
201.6 IPS |
|
|
Object Detection (HP)
|
100% |
17841
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25434
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4171
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
40241
478.1 IPS |
|
|
Face Detection (Q)
|
100% |
55952
664.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104465
804.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168975
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23852
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
254621
327.3 IPS |
|
|
Style Transfer (Q)
|
96% |
349756
451.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5326
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56501
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86437
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6407
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11025
189.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12382
214.0 IPS |
