iPhone18,2
Geekbench AI Score
4882
Single Precision Score
35762
Half Precision Score
48872
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:47 AM |
| 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% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
16308
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21527
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19652
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24214
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
148285
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
272244
319.1 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
17354
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25472
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
40550
481.8 IPS |
|
|
Face Detection (Q)
|
100% |
55314
657.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103567
797.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165994
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23390
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
253029
325.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350678
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5160
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54848
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84266
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6372
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6325
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11174
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12533
216.6 IPS |
