iPhone18,2
Geekbench AI Score
9091
Single Precision Score
17164
Half Precision Score
17679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 06 2025 05:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4304
800.4 IPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7432
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6136
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9669
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10593
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20488
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54668
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59833
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8130
644.8 IPS |
|
|
Object Detection (Q)
|
93% |
8083
644.9 IPS |
|
|
Face Detection (SP)
|
100% |
11770
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
23217
275.9 IPS |
|
|
Face Detection (Q)
|
100% |
17969
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18144
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35698
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39286
306.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44004
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96262
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
121085
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10446
385.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19624
724.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22583
833.9 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6640
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6592
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6163
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6156
106.4 IPS |
