iPhone18,2
Geekbench AI Score
4918
Single Precision Score
36052
Half Precision Score
49740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:55 AM |
| Views | 3 |
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% |
2354
437.8 IPS |
|
|
Image Classification (HP)
|
100% |
15948
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22467
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20075
325.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25928
420.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9065
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151132
176.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
266063
311.8 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
17323
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25555
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
40655
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
54907
652.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104743
807.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171738
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23871
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258188
331.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350543
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56232
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87965
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6437
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11178
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12506
216.1 IPS |
