iPhone18,2
Geekbench AI Score
5104
Single Precision Score
36306
Half Precision Score
49602
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:20 AM |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
16499
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22015
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20063
325.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25829
418.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154061
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285253
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
17721
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25832
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
40379
479.8 IPS |
|
|
Face Detection (Q)
|
100% |
54910
652.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104842
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163003
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24284
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
253911
326.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350430
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56094
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84406
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3540
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6505
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6612
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11228
193.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12293
212.4 IPS |
