iPhone 17 Pro
Geekbench AI Score
9175
Single Precision Score
17236
Half Precision Score
17919
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4357
810.2 IPS |
|
|
Image Classification (HP)
|
100% |
8556
1.59 KIPS |
|
|
Image Classification (Q)
|
97% |
7652
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9614
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10495
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20270
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53985
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67704
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
4477
355.2 IPS |
|
|
Object Detection (HP)
|
100% |
8745
693.6 IPS |
|
|
Object Detection (Q)
|
92% |
8702
694.9 IPS |
|
|
Face Detection (SP)
|
100% |
12432
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
26176
311.0 IPS |
|
|
Face Detection (Q)
|
100% |
19216
228.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17980
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33369
257.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
36955
288.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43877
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93330
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
124134
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19418
717.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21373
789.2 IPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5838
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5940
102.6 IPS |
