iPhone 17 Pro
Geekbench AI Score
10049
Single Precision Score
19045
Half Precision Score
20389
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 04 2026 05:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
4335
806.3 IPS |
|
|
Image Classification (HP)
|
100% |
8817
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9081
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6093
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9677
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10538
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20404
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54311
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
69120
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
4517
358.3 IPS |
|
|
Object Detection (HP)
|
100% |
8670
687.7 IPS |
|
|
Object Detection (Q)
|
94% |
9640
768.7 IPS |
|
|
Face Detection (SP)
|
100% |
12289
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
26507
315.0 IPS |
|
|
Face Detection (Q)
|
100% |
25474
302.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18132
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33668
259.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38269
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44758
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96898
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
123577
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20159
744.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22164
818.4 IPS |
|
|
Text Classification (SP)
|
99% |
6824
9.11 KIPS |
|
|
Text Classification (HP)
|
99% |
11544
15.4 KIPS |
|
|
Text Classification (Q)
|
92% |
11438
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
6091
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7766
133.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6378
110.2 IPS |
