iPhone 17 Pro
Geekbench AI Score
8628
Single Precision Score
16190
Half Precision Score
17217
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 26 2026 07:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
8133
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7470
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9624
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10535
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20380
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54232
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59186
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8124
648.1 IPS |
|
|
Face Detection (SP)
|
100% |
11760
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
21669
257.5 IPS |
|
|
Face Detection (Q)
|
100% |
17513
208.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15153
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35329
272.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38780
302.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39554
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
80257
103.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111562
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8739
322.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18945
699.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21837
806.3 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6442
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6510
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5616
97.0 IPS |
