iPhone 17 Pro
Geekbench AI Score
5056
Single Precision Score
8235
Half Precision Score
6459
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:50 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% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.6 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9792
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18253
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15412
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
97% |
4059
323.2 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8185
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4189
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13825
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9752
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24264
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37359
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30810
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6939
256.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6417
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6318
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5499
94.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9354
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9091
157.1 IPS |
