iPhone 17 Pro
Geekbench AI Score
9998
Single Precision Score
19149
Half Precision Score
20544
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 18 2026 08:55 PM |
| Views | 7 |
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% |
4324
804.2 IPS |
|
|
Image Classification (HP)
|
100% |
8794
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
8922
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6080
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9583
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10489
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20455
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54013
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
69122
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
4398
348.8 IPS |
|
|
Object Detection (HP)
|
100% |
8632
684.7 IPS |
|
|
Object Detection (Q)
|
94% |
9636
768.3 IPS |
|
|
Face Detection (SP)
|
100% |
12114
143.9 IPS |
|
|
Face Detection (HP)
|
100% |
26600
316.1 IPS |
|
|
Face Detection (Q)
|
100% |
25380
301.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18047
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33710
259.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38252
298.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44483
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
97061
124.8 IPS |
|
|
Style Transfer (Q)
|
96% |
124195
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20215
746.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22169
818.6 IPS |
|
|
Text Classification (SP)
|
100% |
6904
9.22 KIPS |
|
|
Text Classification (HP)
|
99% |
12525
16.7 KIPS |
|
|
Text Classification (Q)
|
93% |
12524
16.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7657
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6421
111.0 IPS |
