iPhone18,2
Geekbench AI Score
4906
Single Precision Score
36050
Half Precision Score
49025
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 06:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
16615
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22193
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19869
322.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24189
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9636
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148561
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
275992
323.5 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
100% |
17478
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25286
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
40709
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
55531
659.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8247
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103500
797.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166202
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23528
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257637
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350524
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55123
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84480
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6303
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4647
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11278
194.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12429
214.8 IPS |
