iPhone18,2
Geekbench AI Score
5144
Single Precision Score
36271
Half Precision Score
49381
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | September 20 2025 03:15 PM |
| Views | 4 |
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% |
2311
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
16478
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22437
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20370
330.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25973
421.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10617
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
158812
185.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
289757
339.6 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
17445
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25244
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4591
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40867
485.6 IPS |
|
|
Face Detection (Q)
|
100% |
54010
641.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106103
817.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165773
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24724
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259045
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352574
455.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56306
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86447
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5275
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11162
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12599
217.7 IPS |
