iPhone18,2
Geekbench AI Score
5046
Single Precision Score
36477
Half Precision Score
49400
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | SpeedsterCamaro |
| Upload Date | December 05 2025 06:08 AM |
| Views | 11 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
16465
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21370
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20502
332.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26077
422.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10159
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
156271
182.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
295937
346.9 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
18001
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25330
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
40794
484.7 IPS |
|
|
Face Detection (Q)
|
100% |
53410
634.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104148
802.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161067
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23884
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259069
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351942
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5317
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56700
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84753
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6329
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11120
191.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12728
220.0 IPS |
