iPhone18,2
Geekbench AI Score
5179
Single Precision Score
35912
Half Precision Score
48369
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 02:44 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
16013
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21730
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20202
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25180
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10688
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159532
186.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
297724
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
17389
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24900
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40036
475.7 IPS |
|
|
Face Detection (Q)
|
100% |
49514
588.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8579
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103044
793.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167487
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25155
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257878
331.5 IPS |
|
|
Style Transfer (Q)
|
96% |
349950
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56939
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85132
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5895
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10933
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11865
205.0 IPS |
