iPhone 17 Pro
Geekbench AI Score
10027
Single Precision Score
19043
Half Precision Score
20446
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 06 2026 07:26 AM |
| Views | 4 |
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% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
8833
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9028
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6129
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9686
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10638
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20454
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54423
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
69949
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
8686
689.0 IPS |
|
|
Object Detection (Q)
|
94% |
9648
769.3 IPS |
|
|
Face Detection (SP)
|
100% |
12170
144.6 IPS |
|
|
Face Detection (HP)
|
100% |
26666
316.8 IPS |
|
|
Face Detection (Q)
|
100% |
25492
302.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18101
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33790
260.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38577
301.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44586
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96864
124.5 IPS |
|
|
Style Transfer (Q)
|
96% |
123608
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20588
760.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22162
818.4 IPS |
|
|
Text Classification (SP)
|
99% |
6753
9.01 KIPS |
|
|
Text Classification (HP)
|
99% |
11359
15.2 KIPS |
|
|
Text Classification (Q)
|
92% |
11368
15.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7597
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6435
111.2 IPS |
