iPhone 17 Pro 1TB iPhone18,1
Geekbench AI Score
5195
Single Precision Score
8361
Half Precision Score
6605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Appler |
| Upload Date | September 28 2025 11:31 PM |
| Views | 12 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3032
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10480
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19479
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16434
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
97% |
4176
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2833
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
4586
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8431
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4333
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14404
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9990
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24832
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38890
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31751
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7002
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
5861
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6130
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9396
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9395
162.4 IPS |
