iPhone 17 Pro
Geekbench AI Score
5275
Single Precision Score
8547
Half Precision Score
6709
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 10 2026 03:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2205
410.1 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.3 IPS |
|
|
Image Classification (Q)
|
94% |
1951
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3473
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8248
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16017
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13934
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2706
214.7 IPS |
|
|
Object Detection (HP)
|
98% |
4352
346.3 IPS |
|
|
Object Detection (Q)
|
88% |
2694
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
9796
116.4 IPS |
|
|
Face Detection (Q)
|
100% |
4663
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7950
61.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11355
87.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7652
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21952
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41657
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33588
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9526
351.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6152
227.2 IPS |
|
|
Text Classification (SP)
|
100% |
6848
9.14 KIPS |
|
|
Text Classification (HP)
|
100% |
11678
15.6 KIPS |
|
|
Text Classification (Q)
|
93% |
11399
15.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5303
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8529
146.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8644
149.4 IPS |
