iPhone18,2
Geekbench AI Score
5167
Single Precision Score
35826
Half Precision Score
48549
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
16215
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21783
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19508
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25090
406.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10421
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
157682
184.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
296848
347.9 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
17421
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25068
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
40717
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
50340
598.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8477
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104775
807.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161982
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24705
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258791
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
352760
455.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55214
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85966
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5932
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5321
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11010
189.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12195
210.7 IPS |
