iPhone18,2
Geekbench AI Score
5129
Single Precision Score
36197
Half Precision Score
49145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:30 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
16368
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22018
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20382
330.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25629
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10526
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159563
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294161
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17531
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25218
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
40602
482.4 IPS |
|
|
Face Detection (Q)
|
100% |
54117
643.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105152
810.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167171
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24468
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259473
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351979
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5554
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57097
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85439
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5767
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11076
190.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12515
216.3 IPS |
