iPhone18,2
Geekbench AI Score
5086
Single Precision Score
8314
Half Precision Score
6506
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2310
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.9 IPS |
|
|
Image Classification (Q)
|
96% |
2454
458.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10273
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18307
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15742
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2542
201.6 IPS |
|
|
Object Detection (HP)
|
97% |
4125
328.4 IPS |
|
|
Object Detection (Q)
|
94% |
2786
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8309
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4200
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8380
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13997
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9912
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24155
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37350
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30399
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4885
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5297
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9552
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9343
161.5 IPS |
