iPhone18,2
Geekbench AI Score
5019
Single Precision Score
36415
Half Precision Score
49878
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mitmcint |
| Upload Date | December 05 2025 02:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.51 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
16484
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21896
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20028
324.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25825
418.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10141
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
157910
184.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298016
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
17434
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25245
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40822
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
56022
665.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105479
812.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172635
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24118
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259291
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352550
454.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56910
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85431
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6472
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6388
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10971
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12039
208.0 IPS |
