iPhone18,2
Geekbench AI Score
5117
Single Precision Score
36091
Half Precision Score
49105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:26 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% |
2370
440.8 IPS |
|
|
Image Classification (HP)
|
100% |
16615
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
21813
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20091
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26038
422.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10499
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159070
185.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292442
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
17438
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25656
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
40889
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
52560
624.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8408
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105431
812.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168057
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24061
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258719
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
353616
456.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55883
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85348
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5741
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11009
189.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12501
216.0 IPS |
