iPhone 17 Pro iPhone18,1
Geekbench AI Score
5100
Single Precision Score
8313
Half Precision Score
6577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | September 21 2025 07:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.1 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10695
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19231
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16392
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (HP)
|
97% |
4168
331.9 IPS |
|
|
Object Detection (Q)
|
94% |
2837
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
4619
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8446
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4419
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14264
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9991
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24133
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37380
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31037
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9335
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9386
162.2 IPS |
