iPhone 17 Pro iPhone18,1
Geekbench AI Score
9111
Single Precision Score
16504
Half Precision Score
17092
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:23 PM |
| Views | 3 |
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% |
4280
795.9 IPS |
|
|
Image Classification (HP)
|
100% |
7997
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7532
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6113
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9628
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10580
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20331
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53987
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59132
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8047
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11724
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23092
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17825
211.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18001
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35624
274.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38803
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43194
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96509
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120060
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19393
716.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22356
825.5 IPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4773
82.5 IPS |
