iPhone18,2
Geekbench AI Score
5134
Single Precision Score
36446
Half Precision Score
50029
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shafnitz |
| Upload Date | November 08 2025 04:02 AM |
| Views | 5 |
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% |
2365
439.9 IPS |
|
|
Image Classification (HP)
|
100% |
16239
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
23057
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19680
319.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25371
411.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10279
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
157200
183.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298407
349.8 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18484
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25429
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
41153
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
50305
597.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8403
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105771
814.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179152
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
23080
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258814
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351948
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56482
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86636
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6310
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6607
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5257
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11092
191.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12188
210.6 IPS |
