iPhone 17 Pro
Geekbench AI Score
5079
Single Precision Score
8394
Half Precision Score
6570
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 13 2026 05:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.0 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3114
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9973
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18371
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15695
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
97% |
4099
326.3 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4229
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13991
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9938
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24464
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38288
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31423
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5654
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5055
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6631
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6603
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9328
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9313
160.9 IPS |
