iPhone 17 Pro
Geekbench AI Score
9948
Single Precision Score
18595
Half Precision Score
20254
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 24 2026 07:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4404
819.0 IPS |
|
|
Image Classification (HP)
|
100% |
8767
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
8971
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6106
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9679
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10563
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20422
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54254
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
69299
81.2 IPS |
|
|
Object Detection (SP)
|
100% |
4491
356.2 IPS |
|
|
Object Detection (HP)
|
100% |
8706
690.6 IPS |
|
|
Object Detection (Q)
|
94% |
9642
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
12372
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
26705
317.3 IPS |
|
|
Face Detection (Q)
|
100% |
25611
304.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18169
140.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34620
266.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38134
297.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44872
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95248
122.4 IPS |
|
|
Style Transfer (Q)
|
96% |
124236
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10437
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20543
758.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21887
808.2 IPS |
|
|
Text Classification (SP)
|
100% |
6720
8.97 KIPS |
|
|
Text Classification (HP)
|
100% |
11142
14.9 KIPS |
|
|
Text Classification (Q)
|
93% |
11462
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6029
104.2 IPS |
