iPhone 17 Pro
Geekbench AI Score
9112
Single Precision Score
16930
Half Precision Score
17537
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:49 PM |
| Views | 4 |
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% |
4323
803.9 IPS |
|
|
Image Classification (HP)
|
100% |
8090
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6072
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9575
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10517
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20384
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54056
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59202
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8122
648.0 IPS |
|
|
Face Detection (SP)
|
100% |
11575
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
23102
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17969
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17977
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35253
271.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38791
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43677
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96489
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120125
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10443
385.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19386
715.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22445
828.8 IPS |
|
|
Text Classification (SP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5861
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6050
104.5 IPS |
