iPhone 17 Pro
Geekbench AI Score
10075
Single Precision Score
18991
Half Precision Score
20418
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 09:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| 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% |
4326
804.4 IPS |
|
|
Image Classification (HP)
|
100% |
8636
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8910
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6184
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9741
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10643
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20481
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54806
63.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
71049
83.3 IPS |
|
|
Object Detection (SP)
|
100% |
4546
360.6 IPS |
|
|
Object Detection (HP)
|
100% |
8690
689.3 IPS |
|
|
Object Detection (Q)
|
94% |
9645
769.0 IPS |
|
|
Face Detection (SP)
|
100% |
12437
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
26723
317.5 IPS |
|
|
Face Detection (Q)
|
100% |
25790
306.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18195
140.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34365
264.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38531
300.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45310
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
97662
125.5 IPS |
|
|
Style Transfer (Q)
|
96% |
124458
160.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10449
385.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19502
720.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22320
824.2 IPS |
|
|
Text Classification (SP)
|
100% |
6603
8.81 KIPS |
|
|
Text Classification (HP)
|
100% |
11298
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
11000
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
6116
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7711
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6383
110.3 IPS |
