iPhone 17 Pro 1TB iPhone18,1
Geekbench AI Score
9144
Single Precision Score
16535
Half Precision Score
17108
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4294
798.5 IPS |
|
|
Image Classification (HP)
|
100% |
8074
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7486
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6080
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9572
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10559
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20318
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53970
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58899
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8066
643.5 IPS |
|
|
Face Detection (SP)
|
100% |
11793
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
23103
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17956
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17995
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35677
274.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38675
302.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43574
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95713
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119900
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18726
691.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22327
824.4 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6523
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5125
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
