iPhone 17 Pro
Geekbench AI Score
9175
Single Precision Score
17090
Half Precision Score
17639
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 26 2026 11:35 PM |
| Views | 11 |
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% |
4265
793.1 IPS |
|
|
Image Classification (HP)
|
100% |
8115
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7532
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6121
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9611
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10639
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20482
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54860
64.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60244
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
4417
350.4 IPS |
|
|
Object Detection (HP)
|
100% |
8109
643.2 IPS |
|
|
Object Detection (Q)
|
93% |
8155
650.6 IPS |
|
|
Face Detection (SP)
|
100% |
11931
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
23405
278.1 IPS |
|
|
Face Detection (Q)
|
100% |
18489
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18109
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35961
277.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38985
304.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44315
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96690
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
121025
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10568
390.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20076
741.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22653
836.5 IPS |
|
|
Text Classification (SP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6223
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6226
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6023
104.1 IPS |
