iPhone18,2
Geekbench AI Score
5164
Single Precision Score
36098
Half Precision Score
49334
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:16 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
16164
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22388
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20110
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25614
415.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10916
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
159663
186.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
295106
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
17345
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25196
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40483
481.0 IPS |
|
|
Face Detection (Q)
|
100% |
54124
643.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8461
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105556
813.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164837
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24162
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
260169
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350926
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5637
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57709
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87486
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5955
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10924
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12482
215.7 IPS |
