iPhone18,2
Geekbench AI Score
5053
Single Precision Score
36098
Half Precision Score
49659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | stevemops |
| Upload Date | October 17 2025 05:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2370
440.7 IPS |
|
|
Image Classification (HP)
|
100% |
16235
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21777
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20018
324.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23861
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9915
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
149249
174.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
279107
327.1 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
17310
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25537
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40306
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
58660
697.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8239
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104994
808.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169483
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24242
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258342
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350585
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5619
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55853
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85442
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6651
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6655
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11018
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12425
214.7 IPS |
