iPhone 17 Pro
Geekbench AI Score
5227
Single Precision Score
8448
Half Precision Score
6752
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3456
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11245
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19940
23.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17188
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4245
337.9 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8477
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4612
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14558
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10318
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25389
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39643
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32548
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6016
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9381
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9616
166.2 IPS |
