iPhone 17 Pro
Geekbench AI Score
5073
Single Precision Score
8396
Half Precision Score
6593
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 02:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1801
334.9 IPS |
|
|
Image Classification (HP)
|
100% |
2678
498.1 IPS |
|
|
Image Classification (Q)
|
94% |
1970
368.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8056
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15084
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13257
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.2 IPS |
|
|
Object Detection (HP)
|
98% |
4254
338.5 IPS |
|
|
Object Detection (Q)
|
88% |
2736
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
9765
116.0 IPS |
|
|
Face Detection (Q)
|
100% |
4504
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7722
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11135
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7954
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40194
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31566
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9918
366.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5948
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
6615
8.83 KIPS |
|
|
Text Classification (HP)
|
100% |
11529
15.4 KIPS |
|
|
Text Classification (Q)
|
93% |
11141
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8543
147.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8535
147.5 IPS |
